=== Run information ===

Scheme:       weka.classifiers.rules.JRip -F 3 -N 2.0 -O 2 -S 1
Relation:     adult_trening
Instances:    34070
Attributes:   15
              AGE
              WORKCLASS
              FNLWGT
              EDUCATION
              EDUCATION-NUM
              MARITAL-STATUS
              OCCUPATION
              RELATIONSHIP
              RACE
              SEX
              CAPITAL-GAIN
              CAPITAL-LOSS
              HOURS-PER-WEEK
              NATIVE-COUNTRY
              CLASS
Test mode:    evaluate on training data

=== Classifier model (full training set) ===

JRIP rules:
===========

(MARITAL-STATUS = Married-civ-spouse) and (EDUCATION-NUM >= 12) and (CAPITAL-GAIN >= 5178) => CLASS=>50K (745.0/2.0)
(MARITAL-STATUS = Married-civ-spouse) and (EDUCATION-NUM >= 13) and (CAPITAL-LOSS >= 1825) and (CAPITAL-LOSS <= 1977) => CLASS=>50K (336.0/1.0)
(MARITAL-STATUS = Married-civ-spouse) and (EDUCATION-NUM >= 13) and (AGE >= 34) and (HOURS-PER-WEEK >= 36) and (OCCUPATION = Exec-managerial) => CLASS=>50K (729.0/158.0)
(MARITAL-STATUS = Married-civ-spouse) and (EDUCATION-NUM >= 13) and (HOURS-PER-WEEK >= 40) and (AGE >= 40) => CLASS=>50K (1296.0/427.0)
(MARITAL-STATUS = Married-civ-spouse) and (EDUCATION-NUM >= 10) and (CAPITAL-GAIN >= 5178) => CLASS=>50K (250.0/3.0)
(MARITAL-STATUS = Married-civ-spouse) and (EDUCATION-NUM >= 10) and (AGE >= 34) and (HOURS-PER-WEEK >= 41) and (FNLWGT >= 186819) and (OCCUPATION = Exec-managerial) => CLASS=>50K (110.0/27.0)
(MARITAL-STATUS = Married-civ-spouse) and (EDUCATION-NUM >= 10) and (OCCUPATION = Exec-managerial) and (AGE >= 31) => CLASS=>50K (550.0/220.0)
(MARITAL-STATUS = Married-civ-spouse) and (OCCUPATION = Prof-specialty) and (AGE >= 34) and (EDUCATION-NUM >= 13) and (HOURS-PER-WEEK >= 31) => CLASS=>50K (330.0/85.0)
(MARITAL-STATUS = Married-civ-spouse) and (AGE >= 34) and (OCCUPATION = Sales) and (EDUCATION-NUM >= 11) and (AGE <= 40) and (WORKCLASS = Private) => CLASS=>50K (95.0/33.0)
(MARITAL-STATUS = Married-civ-spouse) and (EDUCATION-NUM >= 10) and (AGE >= 36) and (CAPITAL-LOSS >= 1848) => CLASS=>50K (115.0/15.0)
(MARITAL-STATUS = Married-civ-spouse) and (EDUCATION-NUM >= 13) and (HOURS-PER-WEEK >= 40) and (AGE >= 29) and (NATIVE-COUNTRY = United-States) and (FNLWGT >= 96524) and (AGE <= 31) => CLASS=>50K (155.0/56.0)
(MARITAL-STATUS = Married-civ-spouse) and (EDUCATION-NUM >= 9) and (AGE >= 36) and (CAPITAL-GAIN >= 5178) => CLASS=>50K (178.0/5.0)
(MARITAL-STATUS = Married-civ-spouse) and (EDUCATION-NUM >= 10) and (HOURS-PER-WEEK >= 37) and (FNLWGT >= 182570) and (AGE >= 44) and (AGE <= 50) => CLASS=>50K (226.0/83.0)
(MARITAL-STATUS = Married-civ-spouse) and (EDUCATION-NUM >= 10) and (AGE >= 32) and (FNLWGT >= 116508) and (AGE <= 59) and (OCCUPATION = Prof-specialty) => CLASS=>50K (219.0/89.0)
(MARITAL-STATUS = Married-civ-spouse) and (AGE >= 36) and (AGE <= 53) and (EDUCATION-NUM >= 12) and (RELATIONSHIP = Wife) => CLASS=>50K (60.0/18.0)
(MARITAL-STATUS = Married-civ-spouse) and (EDUCATION-NUM >= 9) and (HOURS-PER-WEEK >= 40) and (AGE >= 46) and (AGE <= 57) and (CAPITAL-LOSS >= 1848) and (CAPITAL-LOSS <= 1977) => CLASS=>50K (34.0/2.0)
(MARITAL-STATUS = Married-civ-spouse) and (CAPITAL-GAIN >= 5178) => CLASS=>50K (69.0/2.0)
(MARITAL-STATUS = Married-civ-spouse) and (EDUCATION-NUM >= 9) and (AGE >= 35) and (HOURS-PER-WEEK >= 40) and (OCCUPATION = Tech-support) => CLASS=>50K (164.0/59.0)
(MARITAL-STATUS = Married-civ-spouse) and (EDUCATION-NUM >= 9) and (AGE >= 35) and (HOURS-PER-WEEK >= 40) and (OCCUPATION = Exec-managerial) => CLASS=>50K (280.0/132.0)
 => CLASS=<=50K (28129.0/3620.0)

Number of Rules : 20


Time taken to build model: 12.41 seconds

=== Predictions on training set ===

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<!DOCTYPE predictions
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<predictions version="3.8.4" name="adult_trening">
  <prediction index="1">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  </prediction>
  <prediction index="2">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="2">&gt;50K</predicted_label>
    <error>yes</error>
    <distribution>
      <class_label index="1">0.4</class_label>
      <class_label index="2" predicted="yes">0.6</class_label>
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  </prediction>
  <prediction index="3">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
  </prediction>
  <prediction index="4">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  </prediction>
  <prediction index="5">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="2">&gt;50K</predicted_label>
    <error>yes</error>
    <distribution>
      <class_label index="1">0.217</class_label>
      <class_label index="2" predicted="yes">0.783</class_label>
    </distribution>
  </prediction>
  <prediction index="6">
    <actual_label index="2">&gt;50K</actual_label>
    <predicted_label index="2">&gt;50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1">0.471</class_label>
      <class_label index="2" predicted="yes">0.529</class_label>
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  </prediction>
  <prediction index="7">
    <actual_label index="2">&gt;50K</actual_label>
    <predicted_label index="2">&gt;50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1">0.003</class_label>
      <class_label index="2" predicted="yes">0.997</class_label>
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  </prediction>
  <prediction index="8">
    <actual_label index="2">&gt;50K</actual_label>
    <predicted_label index="2">&gt;50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1">0.245</class_label>
      <class_label index="2" predicted="yes">0.755</class_label>
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  <prediction index="9">
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  <prediction index="10">
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    <error>no</error>
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      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  </prediction>
  <prediction index="11">
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    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>yes</error>
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      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="12">
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    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
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      <class_label index="2">0.129</class_label>
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  <prediction index="17">
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  <prediction index="23">
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  <prediction index="24">
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  <prediction index="25">
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  <prediction index="26">
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  <prediction index="28">
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  <prediction index="29">
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  <prediction index="30">
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  <prediction index="31">
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  <prediction index="32">
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  <prediction index="33">
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  <prediction index="34">
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  <prediction index="35">
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  </prediction>
  <prediction index="36">
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  <prediction index="37">
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  </prediction>
  <prediction index="38">
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  </prediction>
  <prediction index="39">
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  </prediction>
  <prediction index="40">
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  <prediction index="41">
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  <prediction index="42">
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  </prediction>
  <prediction index="43">
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  <prediction index="44">
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  <prediction index="45">
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  <prediction index="46">
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  <prediction index="47">
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  <prediction index="48">
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    <error>no</error>
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    </distribution>
  </prediction>
  <prediction index="49">
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    <error>no</error>
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  </prediction>
  <prediction index="50">
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    <error>no</error>
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  <prediction index="51">
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  <prediction index="1442">
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  <prediction index="1830">
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  <prediction index="1836">
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      <class_label index="2">0.129</class_label>
    </distribution>
  </prediction>
  <prediction index="1943">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
  </prediction>
  <prediction index="1944">
    <actual_label index="2">&gt;50K</actual_label>
    <predicted_label index="2">&gt;50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1">0.003</class_label>
      <class_label index="2" predicted="yes">0.997</class_label>
    </distribution>
  </prediction>
  <prediction index="1945">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
  </prediction>
  <prediction index="1946">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
  </prediction>
  <prediction index="1947">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
  </prediction>
  <prediction index="1948">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
  </prediction>
  <prediction index="1949">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
  </prediction>
  <prediction index="1950">
    <actual_label index="2">&gt;50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>yes</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
  </prediction>
  <prediction index="1951">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
  </prediction>
  <prediction index="1952">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
  </prediction>
  <prediction index="1953">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
  </prediction>
  <prediction index="1954">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
  </prediction>
  <prediction index="1955">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
  </prediction>
  <prediction index="1956">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
  </prediction>
  <prediction index="1957">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
  </prediction>
  <prediction index="1958">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
  </prediction>
  <prediction index="1959">
    <actual_label index="2">&gt;50K</actual_label>
    <predicted_label index="2">&gt;50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1">0.003</class_label>
      <class_label index="2" predicted="yes">0.997</class_label>
    </distribution>
  </prediction>
  <prediction index="1960">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
  </prediction>
  <prediction index="1961">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
  </prediction>
  <prediction index="1962">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="2">&gt;50K</predicted_label>
    <error>yes</error>
    <distribution>
      <class_label index="1">0.258</class_label>
      <class_label index="2" predicted="yes">0.742</class_label>
    </distribution>
  </prediction>
  <prediction index="1963">
    <actual_label index="2">&gt;50K</actual_label>
    <predicted_label index="2">&gt;50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1">0.329</class_label>
      <class_label index="2" predicted="yes">0.671</class_label>
    </distribution>
  </prediction>
  <prediction index="1964">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
  </prediction>
  <prediction index="1965">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
  </prediction>
  <prediction index="1966">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
  </prediction>
  <prediction index="1967">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
  </prediction>
  <prediction index="1968">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
  </prediction>
  <prediction index="1969">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
  </prediction>
  <prediction index="1970">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
  </prediction>
  <prediction index="1971">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
  </prediction>
  <prediction index="1972">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
  </prediction>
  <prediction index="1973">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
  </prediction>
  <prediction index="1974">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
  </prediction>
  <prediction index="1975">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
  </prediction>
  <prediction index="1976">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
  </prediction>
  <prediction index="1977">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
  </prediction>
  <prediction index="1978">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
  </prediction>
  <prediction index="1979">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
  </prediction>
  <prediction index="1980">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
  </prediction>
  <prediction index="1981">
    <actual_label index="2">&gt;50K</actual_label>
    <predicted_label index="2">&gt;50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1">0.217</class_label>
      <class_label index="2" predicted="yes">0.783</class_label>
    </distribution>
  </prediction>
  <prediction index="1982">
    <actual_label index="2">&gt;50K</actual_label>
    <predicted_label index="2">&gt;50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1">0.258</class_label>
      <class_label index="2" predicted="yes">0.742</class_label>
    </distribution>
  </prediction>
  <prediction index="1983">
    <actual_label index="2">&gt;50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>yes</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
  </prediction>
  <prediction index="1984">
    <actual_label index="2">&gt;50K</actual_label>
    <predicted_label index="2">&gt;50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1">0.003</class_label>
      <class_label index="2" predicted="yes">0.997</class_label>
    </distribution>
  </prediction>
  <prediction index="1985">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
  </prediction>
  <prediction index="1986">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
  </prediction>
  <prediction index="1987">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
  </prediction>
  <prediction index="1988">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
  </prediction>
  <prediction index="1989">
    <actual_label index="2">&gt;50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>yes</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
  </prediction>
  <prediction index="1990">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
  </prediction>
  <prediction index="1991">
    <actual_label index="2">&gt;50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>yes</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
  </prediction>
  <prediction index="1992">
    <actual_label index="2">&gt;50K</actual_label>
    <predicted_label index="2">&gt;50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1">0.028</class_label>
      <class_label index="2" predicted="yes">0.972</class_label>
    </distribution>
  </prediction>
  <prediction index="1993">
    <actual_label index="2">&gt;50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>yes</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
  </prediction>
  <prediction index="1994">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="2">&gt;50K</predicted_label>
    <error>yes</error>
    <distribution>
      <class_label index="1">0.329</class_label>
      <class_label index="2" predicted="yes">0.671</class_label>
    </distribution>
  </prediction>
  <prediction index="1995">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
  </prediction>
  <prediction index="1996">
    <actual_label index="2">&gt;50K</actual_label>
    <predicted_label index="2">&gt;50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1">0.245</class_label>
      <class_label index="2" predicted="yes">0.755</class_label>
    </distribution>
  </prediction>
  <prediction index="1997">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
  </prediction>
  <prediction index="1998">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
  </prediction>
  <prediction index="1999">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
  </prediction>
  <prediction index="2000">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
  </prediction>
  <prediction index="2001">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
  </prediction>
  <prediction index="2002">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
  </prediction>
  <prediction index="2003">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
  </prediction>
  <prediction index="2004">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
  </prediction>
  <prediction index="2005">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
  </prediction>
  <prediction index="2006">
    <actual_label index="2">&gt;50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>yes</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
  </prediction>
  <prediction index="2007">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
  </prediction>
  <prediction index="2008">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
  </prediction>
  <prediction index="2009">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
  </prediction>
  <prediction index="2010">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
  </prediction>
  <prediction index="2011">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
  </prediction>
  <prediction index="2012">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
  </prediction>
  <prediction index="2013">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="2">&gt;50K</predicted_label>
    <error>yes</error>
    <distribution>
      <class_label index="1">0.329</class_label>
      <class_label index="2" predicted="yes">0.671</class_label>
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  </prediction>
  <prediction index="2014">
    <actual_label index="2">&gt;50K</actual_label>
    <predicted_label index="2">&gt;50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1">0.003</class_label>
      <class_label index="2" predicted="yes">0.997</class_label>
    </distribution>
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  <prediction index="2015">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
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  <prediction index="2016">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
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  <prediction index="2017">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
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  <prediction index="2018">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
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  <prediction index="2019">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
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  <prediction index="2020">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="2">&gt;50K</predicted_label>
    <error>yes</error>
    <distribution>
      <class_label index="1">0.217</class_label>
      <class_label index="2" predicted="yes">0.783</class_label>
    </distribution>
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  <prediction index="2021">
    <actual_label index="2">&gt;50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>yes</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
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  <prediction index="2022">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="2023">
    <actual_label index="2">&gt;50K</actual_label>
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    <error>no</error>
    <distribution>
      <class_label index="1">0.028</class_label>
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  <prediction index="2024">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="2025">
    <actual_label index="1">&lt;=50K</actual_label>
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    <error>no</error>
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  <prediction index="2026">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="2">0.129</class_label>
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  <prediction index="2027">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1">0.4</class_label>
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  <prediction index="2028">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="2029">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="2030">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="2031">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="2032">
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  <prediction index="2033">
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  <prediction index="2034">
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  <prediction index="2035">
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  <prediction index="2036">
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  <prediction index="2037">
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  <prediction index="2038">
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  <prediction index="2039">
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  <prediction index="2041">
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  <prediction index="2042">
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  <prediction index="2043">
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  <prediction index="2044">
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  <prediction index="2045">
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  <prediction index="2676">
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  <prediction index="2677">
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  <prediction index="2678">
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  <prediction index="2680">
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  <prediction index="2684">
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  <prediction index="2691">
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  <prediction index="3403">
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  <prediction index="3404">
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  <prediction index="3405">
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  <prediction index="3407">
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  <prediction index="3512">
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  <prediction index="3513">
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  <prediction index="3514">
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  <prediction index="3516">
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  <prediction index="3519">
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  <prediction index="3520">
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  <prediction index="3521">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="3522">
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  <prediction index="3526">
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  <prediction index="3527">
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  <prediction index="3528">
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  <prediction index="3529">
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  <prediction index="3530">
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  <prediction index="3531">
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  <prediction index="3533">
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  <prediction index="3534">
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  <prediction index="3600">
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  <prediction index="4822">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="4823">
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  <prediction index="4827">
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  <prediction index="4830">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="4831">
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  <prediction index="4833">
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  <prediction index="4834">
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  <prediction index="4835">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="4836">
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  <prediction index="4837">
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  <prediction index="4839">
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  <prediction index="4841">
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  <prediction index="4842">
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    <predicted_label index="2">&gt;50K</predicted_label>
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      <class_label index="1">0.245</class_label>
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    <predicted_label index="1">&lt;=50K</predicted_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="5064">
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  <prediction index="5072">
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    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="5076">
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  <prediction index="5077">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="5078">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="5079">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="5080">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="5081">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="5082">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="5083">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="5084">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1">0.4</class_label>
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  <prediction index="5085">
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  <prediction index="5087">
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    <actual_label index="2">&gt;50K</actual_label>
    <predicted_label index="2">&gt;50K</predicted_label>
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      <class_label index="1">0.329</class_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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    <predicted_label index="1">&lt;=50K</predicted_label>
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  <prediction index="5096">
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    <predicted_label index="2">&gt;50K</predicted_label>
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    <distribution>
      <class_label index="1">0.003</class_label>
      <class_label index="2" predicted="yes">0.997</class_label>
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  <prediction index="5102">
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    <actual_label index="1">&lt;=50K</actual_label>
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    <actual_label index="2">&gt;50K</actual_label>
    <predicted_label index="2">&gt;50K</predicted_label>
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      <class_label index="1">0.329</class_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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    <predicted_label index="1">&lt;=50K</predicted_label>
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  <prediction index="5119">
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    <predicted_label index="2">&gt;50K</predicted_label>
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    <distribution>
      <class_label index="1">0.4</class_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="6857">
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  <prediction index="6976">
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  <prediction index="6977">
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  <prediction index="6978">
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  <prediction index="6979">
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  <prediction index="6982">
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  <prediction index="6984">
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      <class_label index="1">0.003</class_label>
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  <prediction index="7041">
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  <prediction index="8865">
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  <prediction index="9065">
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  <prediction index="9067">
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  <prediction index="9834">
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  <prediction index="9836">
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  <prediction index="9837">
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  <prediction index="9838">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="9839">
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  <prediction index="9840">
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  <prediction index="9841">
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  <prediction index="9842">
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  <prediction index="9843">
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  <prediction index="9844">
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  <prediction index="9845">
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    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="9891">
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  <prediction index="9892">
    <actual_label index="1">&lt;=50K</actual_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="9897">
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    <actual_label index="1">&lt;=50K</actual_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1">0.003</class_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="9939">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="9941">
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  <prediction index="9942">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="9943">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="9944">
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  <prediction index="9945">
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  <prediction index="9946">
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  <prediction index="9947">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="9948">
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  <prediction index="9952">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="9953">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="9954">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="9955">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="9956">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="9957">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="9958">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="9959">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="9960">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.329</class_label>
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  <prediction index="9961">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="9962">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="9963">
    <actual_label index="2">&gt;50K</actual_label>
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  <prediction index="9964">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="9965">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="9966">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="9967">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="9968">
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  <prediction index="9969">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="9970">
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      <class_label index="1">0.4</class_label>
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  <prediction index="9971">
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  <prediction index="9972">
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  <prediction index="9973">
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  <prediction index="9974">
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  <prediction index="9976">
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  <prediction index="9977">
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  <prediction index="9978">
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  <prediction index="9979">
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  <prediction index="9981">
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    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="9983">
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      <class_label index="1">0.367</class_label>
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  <prediction index="9986">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1">0.003</class_label>
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      <class_label index="1">0.4</class_label>
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  <prediction index="10002">
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    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="10006">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="2">0.129</class_label>
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  <prediction index="10007">
    <actual_label index="2">&gt;50K</actual_label>
    <predicted_label index="2">&gt;50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1">0.003</class_label>
      <class_label index="2" predicted="yes">0.997</class_label>
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  <prediction index="10008">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="10009">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="2">&gt;50K</predicted_label>
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      <class_label index="1">0.4</class_label>
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  <prediction index="10010">
    <actual_label index="2">&gt;50K</actual_label>
    <predicted_label index="2">&gt;50K</predicted_label>
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      <class_label index="1">0.003</class_label>
      <class_label index="2" predicted="yes">0.997</class_label>
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  <prediction index="10011">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
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    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10012">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
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    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10013">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10014">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10015">
    <actual_label index="1">&lt;=50K</actual_label>
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    <error>no</error>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10016">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10017">
    <actual_label index="2">&gt;50K</actual_label>
    <predicted_label index="2">&gt;50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1">0.003</class_label>
      <class_label index="2" predicted="yes">0.997</class_label>
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  <prediction index="10018">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="10019">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10020">
    <actual_label index="1">&lt;=50K</actual_label>
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    <error>yes</error>
    <distribution>
      <class_label index="1">0.329</class_label>
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  <prediction index="10021">
    <actual_label index="2">&gt;50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>yes</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10022">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="2">&gt;50K</predicted_label>
    <error>yes</error>
    <distribution>
      <class_label index="1">0.329</class_label>
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  <prediction index="10023">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10024">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10025">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10026">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10027">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10028">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10029">
    <actual_label index="1">&lt;=50K</actual_label>
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    <error>no</error>
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      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="10030">
    <actual_label index="1">&lt;=50K</actual_label>
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    <distribution>
      <class_label index="1">0.367</class_label>
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  <prediction index="10031">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10032">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10033">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10034">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10035">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10036">
    <actual_label index="2">&gt;50K</actual_label>
    <predicted_label index="2">&gt;50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1">0.003</class_label>
      <class_label index="2" predicted="yes">0.997</class_label>
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  <prediction index="10037">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
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    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10038">
    <actual_label index="1">&lt;=50K</actual_label>
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    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="10039">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="10040">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10041">
    <actual_label index="1">&lt;=50K</actual_label>
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    <error>no</error>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10042">
    <actual_label index="1">&lt;=50K</actual_label>
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    <error>no</error>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10043">
    <actual_label index="1">&lt;=50K</actual_label>
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    <error>no</error>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10044">
    <actual_label index="1">&lt;=50K</actual_label>
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    <error>no</error>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10045">
    <actual_label index="2">&gt;50K</actual_label>
    <predicted_label index="2">&gt;50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1">0.217</class_label>
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  <prediction index="10046">
    <actual_label index="1">&lt;=50K</actual_label>
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    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10047">
    <actual_label index="2">&gt;50K</actual_label>
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    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10048">
    <actual_label index="1">&lt;=50K</actual_label>
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    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10049">
    <actual_label index="1">&lt;=50K</actual_label>
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    <error>yes</error>
    <distribution>
      <class_label index="1">0.36</class_label>
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  <prediction index="10050">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="10051">
    <actual_label index="1">&lt;=50K</actual_label>
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    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="10052">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10053">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10054">
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      <class_label index="1">0.258</class_label>
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  <prediction index="10055">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10056">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10057">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10058">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10059">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10060">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10061">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10062">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10063">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10064">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10065">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10066">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10067">
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      <class_label index="1" predicted="yes">0.871</class_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="10073">
    <actual_label index="1">&lt;=50K</actual_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="10076">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="10077">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="10078">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="10079">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="10080">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="10081">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="10082">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="10083">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10084">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10085">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="10086">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10087">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="10088">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1">0.471</class_label>
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  <prediction index="10089">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10090">
    <actual_label index="2">&gt;50K</actual_label>
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  <prediction index="10091">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="10092">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10093">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10094">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10095">
    <actual_label index="2">&gt;50K</actual_label>
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  <prediction index="10096">
    <actual_label index="2">&gt;50K</actual_label>
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  <prediction index="10097">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10098">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.003</class_label>
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  <prediction index="10099">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10100">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.4</class_label>
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  <prediction index="10101">
    <actual_label index="2">&gt;50K</actual_label>
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  <prediction index="10102">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.217</class_label>
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  <prediction index="10103">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="10104">
    <actual_label index="1">&lt;=50K</actual_label>
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    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.003</class_label>
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  <prediction index="10106">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10116">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1">0.471</class_label>
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  <prediction index="10117">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10124">
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      <class_label index="1">0.329</class_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="10136">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="10137">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="10138">
    <actual_label index="1">&lt;=50K</actual_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="10140">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="10141">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.36</class_label>
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  <prediction index="10142">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10143">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="10144">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="10145">
    <actual_label index="1">&lt;=50K</actual_label>
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    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.003</class_label>
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  <prediction index="10147">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10149">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10151">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10152">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10153">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10154">
    <actual_label index="2">&gt;50K</actual_label>
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    <error>no</error>
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      <class_label index="1">0.029</class_label>
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  <prediction index="10155">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10156">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10157">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10158">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10159">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10160">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10161">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10162">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10163">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10164">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10165">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10166">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10167">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10168">
    <actual_label index="2">&gt;50K</actual_label>
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    <error>no</error>
    <distribution>
      <class_label index="1">0.217</class_label>
      <class_label index="2" predicted="yes">0.783</class_label>
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  <prediction index="10169">
    <actual_label index="1">&lt;=50K</actual_label>
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    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10170">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10171">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10172">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10173">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10174">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10175">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10176">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10177">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10178">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="10179">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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    <actual_label index="2">&gt;50K</actual_label>
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    <error>no</error>
    <distribution>
      <class_label index="1">0.329</class_label>
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  <prediction index="10181">
    <actual_label index="1">&lt;=50K</actual_label>
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    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10182">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10183">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10184">
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      <class_label index="1" predicted="yes">0.871</class_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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      <class_label index="1">0.012</class_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10196">
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    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="10198">
    <actual_label index="2">&gt;50K</actual_label>
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  <prediction index="10200">
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  <prediction index="10201">
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  <prediction index="10202">
    <actual_label index="2">&gt;50K</actual_label>
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  <prediction index="10203">
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  <prediction index="10204">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="10205">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.029</class_label>
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  <prediction index="10206">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10207">
    <actual_label index="2">&gt;50K</actual_label>
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  <prediction index="10208">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1">0.347</class_label>
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  <prediction index="10209">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10210">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10211">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="10212">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="10213">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
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      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="10214">
    <actual_label index="2">&gt;50K</actual_label>
    <predicted_label index="2">&gt;50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1">0.329</class_label>
      <class_label index="2" predicted="yes">0.671</class_label>
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  <prediction index="10215">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="10216">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="10217">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="10218">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="10219">
    <actual_label index="2">&gt;50K</actual_label>
    <predicted_label index="2">&gt;50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1">0.003</class_label>
      <class_label index="2" predicted="yes">0.997</class_label>
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  <prediction index="10220">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="10221">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="10222">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
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    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10223">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10224">
    <actual_label index="2">&gt;50K</actual_label>
    <predicted_label index="2">&gt;50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1">0.329</class_label>
      <class_label index="2" predicted="yes">0.671</class_label>
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  <prediction index="10225">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="10226">
    <actual_label index="2">&gt;50K</actual_label>
    <predicted_label index="2">&gt;50K</predicted_label>
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    <distribution>
      <class_label index="1">0.217</class_label>
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  <prediction index="10227">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10228">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10229">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1">0.329</class_label>
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  <prediction index="10230">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10231">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10232">
    <actual_label index="2">&gt;50K</actual_label>
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    <error>no</error>
    <distribution>
      <class_label index="1">0.028</class_label>
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  <prediction index="10233">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
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    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10234">
    <actual_label index="2">&gt;50K</actual_label>
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    <error>no</error>
    <distribution>
      <class_label index="1">0.012</class_label>
      <class_label index="2" predicted="yes">0.988</class_label>
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  <prediction index="10235">
    <actual_label index="2">&gt;50K</actual_label>
    <predicted_label index="2">&gt;50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1">0.36</class_label>
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  <prediction index="10236">
    <actual_label index="1">&lt;=50K</actual_label>
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    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10237">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10238">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10239">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10240">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10241">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10242">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10243">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10244">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10245">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10246">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10247">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10248">
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  <prediction index="10249">
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  <prediction index="10250">
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      <class_label index="1">0.003</class_label>
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  <prediction index="10252">
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  <prediction index="10258">
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  <prediction index="10259">
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  <prediction index="10260">
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  <prediction index="10261">
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  <prediction index="10264">
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  <prediction index="10268">
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  <prediction index="10269">
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  <prediction index="10270">
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  <prediction index="10271">
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  <prediction index="10272">
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  <prediction index="10277">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="10279">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="10280">
    <actual_label index="2">&gt;50K</actual_label>
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  <prediction index="10281">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="10282">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="10283">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="10284">
    <actual_label index="2">&gt;50K</actual_label>
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  <prediction index="10285">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="10286">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="10287">
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  <prediction index="10288">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="10289">
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  <prediction index="10290">
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  <prediction index="10291">
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  <prediction index="10292">
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  <prediction index="10293">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10294">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.471</class_label>
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  <prediction index="10295">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="10296">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10297">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10298">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10299">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10300">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10301">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10302">
    <actual_label index="2">&gt;50K</actual_label>
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  <prediction index="10303">
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      <class_label index="1">0.4</class_label>
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  <prediction index="10304">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="10305">
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  <prediction index="10306">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10307">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10308">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="10309">
    <actual_label index="2">&gt;50K</actual_label>
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    <distribution>
      <class_label index="1">0.406</class_label>
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  <prediction index="10310">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="10311">
    <actual_label index="1">&lt;=50K</actual_label>
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    <error>no</error>
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      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="10312">
    <actual_label index="1">&lt;=50K</actual_label>
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    <error>no</error>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10313">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10315">
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      <class_label index="1">0.217</class_label>
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  <prediction index="10316">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10317">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10320">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10321">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10322">
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  <prediction index="10323">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10325">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10326">
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      <class_label index="1" predicted="yes">0.871</class_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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    <actual_label index="2">&gt;50K</actual_label>
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  <prediction index="10338">
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  <prediction index="10342">
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  <prediction index="10346">
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  <prediction index="10347">
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  <prediction index="10351">
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  <prediction index="10352">
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  <prediction index="10355">
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  <prediction index="10356">
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  <prediction index="10357">
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  <prediction index="10359">
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  <prediction index="10360">
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  <prediction index="10361">
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  <prediction index="10362">
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  <prediction index="10363">
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  <prediction index="10364">
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  <prediction index="10365">
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  <prediction index="10378">
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  <prediction index="10394">
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  <prediction index="10398">
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  <prediction index="10403">
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  <prediction index="10406">
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  <prediction index="10407">
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  <prediction index="10409">
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  <prediction index="10410">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1">0.329</class_label>
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  <prediction index="10411">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10412">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1">0.217</class_label>
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  <prediction index="10413">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10414">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10415">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10416">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.329</class_label>
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  <prediction index="10417">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10418">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10419">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10420">
    <actual_label index="2">&gt;50K</actual_label>
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    <distribution>
      <class_label index="1">0.012</class_label>
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  <prediction index="10421">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
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    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10422">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10423">
    <actual_label index="1">&lt;=50K</actual_label>
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    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10424">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10425">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10426">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10427">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10428">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10429">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10430">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10431">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10432">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10433">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10434">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10435">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10436">
    <actual_label index="1">&lt;=50K</actual_label>
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    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10437">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10438">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10439">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10440">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10441">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10442">
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  <prediction index="10443">
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  <prediction index="10445">
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  <prediction index="10451">
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    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="10459">
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  <prediction index="10460">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="10461">
    <actual_label index="2">&gt;50K</actual_label>
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  <prediction index="10462">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="10463">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="10464">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="2">&gt;50K</predicted_label>
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    <distribution>
      <class_label index="1">0.4</class_label>
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  <prediction index="10465">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="2">&gt;50K</predicted_label>
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      <class_label index="1">0.406</class_label>
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  <prediction index="10466">
    <actual_label index="2">&gt;50K</actual_label>
    <predicted_label index="2">&gt;50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1">0.4</class_label>
      <class_label index="2" predicted="yes">0.6</class_label>
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  <prediction index="10467">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
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    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="10468">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
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    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="10469">
    <actual_label index="2">&gt;50K</actual_label>
    <predicted_label index="2">&gt;50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1">0.217</class_label>
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  <prediction index="10470">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
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    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="10471">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
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    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="10472">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
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    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="10473">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="10474">
    <actual_label index="2">&gt;50K</actual_label>
    <predicted_label index="2">&gt;50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1">0.329</class_label>
      <class_label index="2" predicted="yes">0.671</class_label>
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  <prediction index="10475">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="10476">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
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    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
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  <prediction index="10477">
    <actual_label index="2">&gt;50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>yes</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="10478">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
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    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="10479">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
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    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="10480">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="10481">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="10482">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
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    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="10483">
    <actual_label index="2">&gt;50K</actual_label>
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    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="10484">
    <actual_label index="2">&gt;50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
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    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="10485">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
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  <prediction index="10486">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
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  <prediction index="10487">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
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  <prediction index="10488">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
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  <prediction index="10489">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
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  <prediction index="10490">
    <actual_label index="2">&gt;50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>yes</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
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  <prediction index="10491">
    <actual_label index="2">&gt;50K</actual_label>
    <predicted_label index="2">&gt;50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1">0.406</class_label>
      <class_label index="2" predicted="yes">0.594</class_label>
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  <prediction index="10492">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="2">&gt;50K</predicted_label>
    <error>yes</error>
    <distribution>
      <class_label index="1">0.347</class_label>
      <class_label index="2" predicted="yes">0.653</class_label>
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  <prediction index="10493">
    <actual_label index="2">&gt;50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>yes</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="10494">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="2">&gt;50K</predicted_label>
    <error>yes</error>
    <distribution>
      <class_label index="1">0.258</class_label>
      <class_label index="2" predicted="yes">0.742</class_label>
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  <prediction index="10495">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="10496">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="10497">
    <actual_label index="2">&gt;50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>yes</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="10498">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
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    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="10499">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="10500">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="10501">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="10502">
    <actual_label index="1">&lt;=50K</actual_label>
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    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="10503">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="10504">
    <actual_label index="2">&gt;50K</actual_label>
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    <error>no</error>
    <distribution>
      <class_label index="1">0.028</class_label>
      <class_label index="2" predicted="yes">0.972</class_label>
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  <prediction index="10505">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
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    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="10506">
    <actual_label index="1">&lt;=50K</actual_label>
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    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="10507">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="10508">
    <actual_label index="1">&lt;=50K</actual_label>
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    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="10509">
    <actual_label index="1">&lt;=50K</actual_label>
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    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="10510">
    <actual_label index="1">&lt;=50K</actual_label>
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    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="10511">
    <actual_label index="1">&lt;=50K</actual_label>
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    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="10512">
    <actual_label index="1">&lt;=50K</actual_label>
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    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="10513">
    <actual_label index="1">&lt;=50K</actual_label>
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    <error>no</error>
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      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="10514">
    <actual_label index="2">&gt;50K</actual_label>
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    <error>no</error>
    <distribution>
      <class_label index="1">0.003</class_label>
      <class_label index="2" predicted="yes">0.997</class_label>
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  <prediction index="10515">
    <actual_label index="2">&gt;50K</actual_label>
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    <error>no</error>
    <distribution>
      <class_label index="1">0.471</class_label>
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  <prediction index="10516">
    <actual_label index="2">&gt;50K</actual_label>
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    <error>no</error>
    <distribution>
      <class_label index="1">0.329</class_label>
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  <prediction index="10517">
    <actual_label index="1">&lt;=50K</actual_label>
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    <error>no</error>
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      <class_label index="1" predicted="yes">0.871</class_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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    <error>no</error>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10520">
    <actual_label index="2">&gt;50K</actual_label>
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    <distribution>
      <class_label index="1">0.217</class_label>
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  <prediction index="10521">
    <actual_label index="1">&lt;=50K</actual_label>
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    <error>no</error>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10522">
    <actual_label index="2">&gt;50K</actual_label>
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    <error>no</error>
    <distribution>
      <class_label index="1">0.329</class_label>
      <class_label index="2" predicted="yes">0.671</class_label>
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  <prediction index="10524">
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  <prediction index="10526">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="10527">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="10528">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="10529">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="10530">
    <actual_label index="2">&gt;50K</actual_label>
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  <prediction index="10531">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10532">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10533">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10534">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="10535">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10536">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="10537">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10538">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="10539">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10540">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="10541">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10542">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10543">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.217</class_label>
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  <prediction index="10544">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="10545">
    <actual_label index="2">&gt;50K</actual_label>
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  <prediction index="10546">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="10547">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="10548">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10549">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10550">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10551">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="10552">
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  <prediction index="10553">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="10554">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="10555">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="10556">
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  <prediction index="10557">
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  <prediction index="10558">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.367</class_label>
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  <prediction index="10559">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10560">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10561">
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  <prediction index="10562">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10563">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10564">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10565">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10566">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10567">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10568">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10569">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10570">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10571">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10572">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10573">
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      <class_label index="1">0.003</class_label>
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  <prediction index="10574">
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  <prediction index="10575">
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  <prediction index="10576">
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  <prediction index="10577">
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  <prediction index="10578">
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      <class_label index="1">0.4</class_label>
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  <prediction index="10580">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="10583">
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  <prediction index="10591">
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  <prediction index="10592">
    <actual_label index="2">&gt;50K</actual_label>
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  <prediction index="10593">
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  <prediction index="10594">
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  <prediction index="10595">
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  <prediction index="10598">
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  <prediction index="10602">
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  <prediction index="10603">
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  <prediction index="10604">
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  <prediction index="10605">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.028</class_label>
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  <prediction index="10606">
    <actual_label index="2">&gt;50K</actual_label>
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  <prediction index="10607">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="10608">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="10609">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.012</class_label>
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  <prediction index="10610">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10611">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.4</class_label>
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  <prediction index="10612">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10613">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10614">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.029</class_label>
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  <prediction index="10615">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="10616">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="10617">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="10618">
    <actual_label index="1">&lt;=50K</actual_label>
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    <error>no</error>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10619">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10620">
    <actual_label index="2">&gt;50K</actual_label>
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    <error>no</error>
    <distribution>
      <class_label index="1">0.329</class_label>
      <class_label index="2" predicted="yes">0.671</class_label>
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  <prediction index="10621">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="10622">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="10623">
    <actual_label index="1">&lt;=50K</actual_label>
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    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="10624">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="10625">
    <actual_label index="1">&lt;=50K</actual_label>
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    <distribution>
      <class_label index="1">0.4</class_label>
      <class_label index="2" predicted="yes">0.6</class_label>
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  <prediction index="10626">
    <actual_label index="1">&lt;=50K</actual_label>
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    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="10627">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="10628">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="10629">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="10630">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="10631">
    <actual_label index="2">&gt;50K</actual_label>
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    <error>no</error>
    <distribution>
      <class_label index="1">0.329</class_label>
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  <prediction index="10632">
    <actual_label index="2">&gt;50K</actual_label>
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    <error>no</error>
    <distribution>
      <class_label index="1">0.217</class_label>
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  <prediction index="10633">
    <actual_label index="2">&gt;50K</actual_label>
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    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="10634">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="10635">
    <actual_label index="1">&lt;=50K</actual_label>
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    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="10636">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="10637">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10638">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10639">
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    <distribution>
      <class_label index="1">0.003</class_label>
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  <prediction index="10640">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10641">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10642">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10643">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10644">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10645">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10646">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10647">
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  <prediction index="10648">
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  <prediction index="10649">
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  <prediction index="10650">
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  <prediction index="10651">
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  <prediction index="10652">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10671">
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  <prediction index="10672">
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  <prediction index="10673">
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  <prediction index="10674">
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  <prediction index="10675">
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  <prediction index="10677">
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  <prediction index="10678">
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  <prediction index="10679">
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  <prediction index="10680">
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  <prediction index="10681">
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  <prediction index="10682">
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  <prediction index="10683">
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  <prediction index="10684">
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  <prediction index="10685">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.13</class_label>
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  <prediction index="10686">
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  <prediction index="10687">
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  <prediction index="10688">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="10689">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="10691">
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  <prediction index="10692">
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  <prediction index="10693">
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      <class_label index="1">0.4</class_label>
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  <prediction index="10694">
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  <prediction index="10696">
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  <prediction index="10697">
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  <prediction index="10698">
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      <class_label index="1">0.012</class_label>
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      <class_label index="1">0.003</class_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="10732">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="10733">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="10734">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="10735">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="10736">
    <actual_label index="1">&lt;=50K</actual_label>
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    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.13</class_label>
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  <prediction index="10738">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="10739">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.003</class_label>
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  <prediction index="10740">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10741">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="10742">
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  <prediction index="10743">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="10744">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="10745">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10746">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="10747">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="10748">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10749">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10750">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10751">
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  <prediction index="10752">
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      <class_label index="1">0.258</class_label>
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  <prediction index="10753">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.329</class_label>
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  <prediction index="10754">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="10755">
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  <prediction index="10756">
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  <prediction index="10757">
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  <prediction index="10758">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1">0.329</class_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10761">
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      <class_label index="1" predicted="yes">0.871</class_label>
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      <class_label index="1">0.4</class_label>
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  <prediction index="10763">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10766">
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  <prediction index="10767">
    <actual_label index="1">&lt;=50K</actual_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="10771">
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  <prediction index="10773">
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  <prediction index="10782">
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  <prediction index="10802">
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  <prediction index="10806">
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  <prediction index="10807">
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  <prediction index="10808">
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  <prediction index="10809">
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  <prediction index="10810">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1">0.003</class_label>
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  <prediction index="10812">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.245</class_label>
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  <prediction index="10813">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10814">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.367</class_label>
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  <prediction index="10815">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="10816">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10817">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10818">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10819">
    <actual_label index="2">&gt;50K</actual_label>
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    <distribution>
      <class_label index="1">0.36</class_label>
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  <prediction index="10820">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10821">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10822">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10823">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10824">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10825">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10826">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1">0.471</class_label>
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  <prediction index="10827">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10828">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10829">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10830">
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      <class_label index="1">0.003</class_label>
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  <prediction index="10831">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10832">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10833">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10834">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10835">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10836">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10837">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10838">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10839">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10840">
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      <class_label index="1">0.003</class_label>
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  <prediction index="10841">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10844">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10845">
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  <prediction index="10846">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10849">
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  <prediction index="10851">
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  <prediction index="10852">
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  <prediction index="10853">
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  <prediction index="10855">
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  <prediction index="10856">
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  <prediction index="10857">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.4</class_label>
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  <prediction index="10861">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="10862">
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  <prediction index="10863">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="10864">
    <actual_label index="2">&gt;50K</actual_label>
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  <prediction index="10865">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10866">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.003</class_label>
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  <prediction index="10867">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10868">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10869">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10870">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="10871">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.329</class_label>
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  <prediction index="10872">
    <actual_label index="2">&gt;50K</actual_label>
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    <distribution>
      <class_label index="1">0.003</class_label>
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  <prediction index="10873">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10874">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10875">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10876">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10877">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10878">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10879">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10880">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10881">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10882">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10883">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10884">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10885">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10886">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1">0.4</class_label>
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  <prediction index="10887">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.003</class_label>
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  <prediction index="10888">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10889">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.217</class_label>
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  <prediction index="10890">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10891">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10892">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10893">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10894">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10895">
    <actual_label index="2">&gt;50K</actual_label>
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    <distribution>
      <class_label index="1">0.406</class_label>
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  <prediction index="10896">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10897">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10898">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10899">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10900">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10901">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10902">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10903">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10904">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10905">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10906">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10907">
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      <class_label index="1">0.003</class_label>
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  <prediction index="10908">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10909">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10910">
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      <class_label index="1">0.329</class_label>
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  <prediction index="10911">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10912">
    <actual_label index="1">&lt;=50K</actual_label>
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    <error>no</error>
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      <class_label index="1" predicted="yes">0.871</class_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="10914">
    <actual_label index="1">&lt;=50K</actual_label>
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    <actual_label index="2">&gt;50K</actual_label>
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  <prediction index="10916">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="10917">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.217</class_label>
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  <prediction index="10918">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10919">
    <actual_label index="2">&gt;50K</actual_label>
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  <prediction index="10920">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.329</class_label>
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  <prediction index="10921">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10922">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.003</class_label>
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  <prediction index="10923">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10924">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="10925">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.329</class_label>
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  <prediction index="10926">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10927">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10928">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10929">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10930">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10931">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10932">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.329</class_label>
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  <prediction index="10933">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.329</class_label>
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  <prediction index="10934">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10935">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.329</class_label>
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  <prediction index="10936">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10937">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10938">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10939">
    <actual_label index="2">&gt;50K</actual_label>
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    <error>no</error>
    <distribution>
      <class_label index="1">0.003</class_label>
      <class_label index="2" predicted="yes">0.997</class_label>
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  <prediction index="10940">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="10941">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10942">
    <actual_label index="1">&lt;=50K</actual_label>
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    <error>no</error>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10943">
    <actual_label index="2">&gt;50K</actual_label>
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    <error>no</error>
    <distribution>
      <class_label index="1">0.4</class_label>
      <class_label index="2" predicted="yes">0.6</class_label>
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  <prediction index="10944">
    <actual_label index="2">&gt;50K</actual_label>
    <predicted_label index="2">&gt;50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1">0.36</class_label>
      <class_label index="2" predicted="yes">0.64</class_label>
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  <prediction index="10945">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10946">
    <actual_label index="2">&gt;50K</actual_label>
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    <error>no</error>
    <distribution>
      <class_label index="1">0.217</class_label>
      <class_label index="2" predicted="yes">0.783</class_label>
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  <prediction index="10947">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10948">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10949">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10950">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10951">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10952">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10953">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.003</class_label>
      <class_label index="2" predicted="yes">0.997</class_label>
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  <prediction index="10954">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10955">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10956">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10957">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10958">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10959">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10960">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.36</class_label>
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  <prediction index="10961">
    <actual_label index="1">&lt;=50K</actual_label>
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    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10962">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10963">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10964">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10965">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.329</class_label>
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  <prediction index="10966">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10967">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10968">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10969">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10970">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10971">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10972">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="10973">
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  <prediction index="10974">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10975">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="10976">
    <actual_label index="2">&gt;50K</actual_label>
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    <distribution>
      <class_label index="1">0.003</class_label>
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  <prediction index="10977">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.471</class_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="11044">
    <actual_label index="1">&lt;=50K</actual_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="11046">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="11047">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="11048">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.003</class_label>
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  <prediction index="11049">
    <actual_label index="2">&gt;50K</actual_label>
    <predicted_label index="2">&gt;50K</predicted_label>
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      <class_label index="1">0.258</class_label>
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  <prediction index="11050">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="2">&gt;50K</predicted_label>
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  <prediction index="11051">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="11052">
    <actual_label index="2">&gt;50K</actual_label>
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  <prediction index="11053">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="11054">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="11055">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.029</class_label>
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  <prediction index="11056">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1">0.329</class_label>
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  <prediction index="11057">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="11058">
    <actual_label index="2">&gt;50K</actual_label>
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    <distribution>
      <class_label index="1">0.003</class_label>
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  <prediction index="11059">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="11060">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="11061">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.367</class_label>
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  <prediction index="11062">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="11063">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.361</class_label>
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  <prediction index="11064">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="11065">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.329</class_label>
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  <prediction index="11066">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="11067">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="11068">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="11069">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="11070">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="11071">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="11072">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="11073">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="11074">
    <actual_label index="2">&gt;50K</actual_label>
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    <distribution>
      <class_label index="1">0.217</class_label>
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  <prediction index="11075">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="11076">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="11077">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="11078">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="11079">
    <actual_label index="2">&gt;50K</actual_label>
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    <distribution>
      <class_label index="1">0.003</class_label>
      <class_label index="2" predicted="yes">0.997</class_label>
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  <prediction index="11080">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="11081">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="11082">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="11083">
    <actual_label index="2">&gt;50K</actual_label>
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    <distribution>
      <class_label index="1">0.012</class_label>
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  <prediction index="11084">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="11085">
    <actual_label index="2">&gt;50K</actual_label>
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    <distribution>
      <class_label index="1">0.028</class_label>
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  <prediction index="11086">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="11087">
    <actual_label index="1">&lt;=50K</actual_label>
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    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="11088">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="11089">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="11090">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="11091">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="11092">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.471</class_label>
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  <prediction index="11093">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="11094">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="11095">
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    <distribution>
      <class_label index="1">0.36</class_label>
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  <prediction index="11096">
    <actual_label index="1">&lt;=50K</actual_label>
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    <distribution>
      <class_label index="1">0.4</class_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="11100">
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  <prediction index="11101">
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  <prediction index="11102">
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  <prediction index="11327">
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  <prediction index="11328">
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  <prediction index="11329">
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  <prediction index="11330">
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  <prediction index="11331">
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  <prediction index="11332">
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  <prediction index="11333">
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  <prediction index="11335">
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      <class_label index="1">0.13</class_label>
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  <prediction index="11337">
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  <prediction index="11338">
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  <prediction index="11339">
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  <prediction index="11341">
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  <prediction index="11793">
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  <prediction index="11795">
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  <prediction index="11826">
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  <prediction index="11827">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="11828">
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    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="11830">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="11832">
    <actual_label index="2">&gt;50K</actual_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="11841">
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  <prediction index="11842">
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  <prediction index="11843">
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  <prediction index="11844">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="11845">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="11846">
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  <prediction index="11847">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="11848">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="11849">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="11850">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1">0.329</class_label>
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  <prediction index="11851">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="11852">
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  <prediction index="11853">
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  <prediction index="11854">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.028</class_label>
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  <prediction index="11855">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="11856">
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  <prediction index="11857">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="11858">
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  <prediction index="11859">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="11860">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="11861">
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  <prediction index="11862">
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  <prediction index="11863">
    <actual_label index="1">&lt;=50K</actual_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="11865">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.361</class_label>
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  <prediction index="11866">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="11867">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.217</class_label>
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  <prediction index="11868">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.217</class_label>
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  <prediction index="11869">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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      <class_label index="1">0.36</class_label>
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  <prediction index="11871">
    <actual_label index="2">&gt;50K</actual_label>
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    <distribution>
      <class_label index="1">0.012</class_label>
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  <prediction index="11872">
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      <class_label index="1">0.003</class_label>
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  <prediction index="11873">
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  <prediction index="11881">
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  <prediction index="11883">
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  <prediction index="12430">
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  <prediction index="12434">
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  <prediction index="12436">
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  <prediction index="12438">
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  <prediction index="12439">
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  <prediction index="12441">
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  <prediction index="12443">
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  <prediction index="12604">
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  <prediction index="12610">
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  <prediction index="12612">
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  <prediction index="12613">
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  <prediction index="12614">
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  <prediction index="12616">
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  <prediction index="12617">
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  <prediction index="12619">
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  <prediction index="12621">
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  <prediction index="12622">
    <actual_label index="2">&gt;50K</actual_label>
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  <prediction index="12623">
    <actual_label index="2">&gt;50K</actual_label>
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  <prediction index="12624">
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  <prediction index="12625">
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  <prediction index="12626">
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  <prediction index="12627">
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  <prediction index="12628">
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  <prediction index="12629">
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  <prediction index="12630">
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  <prediction index="12631">
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  <prediction index="12632">
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  <prediction index="12633">
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  <prediction index="12634">
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  <prediction index="12635">
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  <prediction index="12636">
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  <prediction index="12637">
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  <prediction index="12638">
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  <prediction index="12639">
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  <prediction index="12640">
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  <prediction index="12641">
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  <prediction index="12642">
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  <prediction index="12880">
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  <prediction index="12881">
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  <prediction index="12882">
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  <prediction index="12883">
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  <prediction index="12885">
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  <prediction index="12886">
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  <prediction index="12887">
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  <prediction index="12889">
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  <prediction index="12890">
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  <prediction index="12893">
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  <prediction index="12894">
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  <prediction index="12897">
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  <prediction index="12898">
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  <prediction index="12899">
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  <prediction index="12902">
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  <prediction index="13021">
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  <prediction index="13028">
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  <prediction index="13029">
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  <prediction index="13030">
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  <prediction index="13033">
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  <prediction index="13040">
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  <prediction index="13092">
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  <prediction index="13545">
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      <class_label index="1">0.4</class_label>
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  <prediction index="13818">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="13822">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="13856">
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  <prediction index="13863">
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  <prediction index="13864">
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  <prediction index="13865">
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  <prediction index="13866">
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  <prediction index="13868">
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  <prediction index="13870">
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  <prediction index="13872">
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  <prediction index="13873">
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  <prediction index="13874">
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  <prediction index="13875">
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  <prediction index="13877">
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  <prediction index="13881">
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  <prediction index="13882">
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  <prediction index="13969">
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  <prediction index="13972">
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  <prediction index="13973">
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  <prediction index="13974">
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  <prediction index="13975">
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  <prediction index="13976">
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  <prediction index="13977">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="13978">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="13979">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="13980">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="13981">
    <actual_label index="2">&gt;50K</actual_label>
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  <prediction index="13982">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="13983">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="13984">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.003</class_label>
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  <prediction index="13985">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="13986">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="13987">
    <actual_label index="2">&gt;50K</actual_label>
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    <distribution>
      <class_label index="1">0.4</class_label>
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  <prediction index="13988">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="13989">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="13990">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="13991">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="13992">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.361</class_label>
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  <prediction index="13993">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="13994">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="13995">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="13996">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.4</class_label>
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  <prediction index="13997">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="13998">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="13999">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="14000">
    <actual_label index="1">&lt;=50K</actual_label>
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    <error>no</error>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="14001">
    <actual_label index="2">&gt;50K</actual_label>
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  <prediction index="14002">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="14003">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="14004">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="14005">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.406</class_label>
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  <prediction index="14006">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="14007">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="14008">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="14009">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="14010">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="14011">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="14012">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="14013">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="14014">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="14015">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="14016">
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      <class_label index="1">0.003</class_label>
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  <prediction index="14017">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="14018">
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  <prediction index="14019">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="14020">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="14021">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="14022">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="14023">
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      <class_label index="1" predicted="yes">0.871</class_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="14026">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="14027">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="14034">
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  <prediction index="14036">
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  <prediction index="14037">
    <actual_label index="2">&gt;50K</actual_label>
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  <prediction index="14038">
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    <actual_label index="2">&gt;50K</actual_label>
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  <prediction index="14040">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="14042">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="14043">
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  <prediction index="14044">
    <actual_label index="2">&gt;50K</actual_label>
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  <prediction index="14045">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="14046">
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  <prediction index="14047">
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  <prediction index="14048">
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  <prediction index="14049">
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  <prediction index="14050">
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  <prediction index="14051">
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  <prediction index="14052">
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  <prediction index="14053">
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  <prediction index="14054">
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  <prediction index="14055">
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  <prediction index="14056">
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  <prediction index="14057">
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  <prediction index="14058">
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  <prediction index="14059">
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      <class_label index="1">0.029</class_label>
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  <prediction index="14060">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="14061">
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  <prediction index="14062">
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  <prediction index="14063">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="14064">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="14065">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="14066">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="14067">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="14068">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.329</class_label>
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  <prediction index="14069">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="14070">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="14071">
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  <prediction index="14072">
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  <prediction index="14073">
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  <prediction index="14074">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="14075">
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      <class_label index="1">0.217</class_label>
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  <prediction index="14076">
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      <class_label index="1">0.329</class_label>
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  <prediction index="14077">
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  <prediction index="14078">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="14079">
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  <prediction index="14080">
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  <prediction index="14081">
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  <prediction index="14082">
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  <prediction index="14083">
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  <prediction index="14084">
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      <class_label index="1">0.028</class_label>
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  <prediction index="14085">
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  <prediction index="14086">
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  <prediction index="14087">
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  <prediction index="14090">
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  <prediction index="14091">
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  <prediction index="14092">
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  <prediction index="14095">
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  <prediction index="14096">
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  <prediction index="14831">
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  <prediction index="14837">
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  <prediction index="14839">
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  <prediction index="14840">
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    <actual_label index="1">&lt;=50K</actual_label>
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    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.003</class_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="14948">
    <actual_label index="1">&lt;=50K</actual_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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    <actual_label index="2">&gt;50K</actual_label>
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    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.003</class_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="14961">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.13</class_label>
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  <prediction index="14962">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="14963">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="14964">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="14965">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="14966">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="14967">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.003</class_label>
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  <prediction index="14968">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="14969">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="14970">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="14971">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="14972">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="14973">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="14974">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1">0.217</class_label>
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  <prediction index="14975">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="14976">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="14977">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="14978">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="14979">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="14980">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="14981">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="14982">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="14983">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="14984">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="14985">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="14986">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="14987">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="14988">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="14989">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.003</class_label>
      <class_label index="2" predicted="yes">0.997</class_label>
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  <prediction index="14990">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="14991">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="14993">
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      <class_label index="1">0.217</class_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="15868">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="15869">
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  <prediction index="15870">
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  <prediction index="15871">
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  <prediction index="15872">
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  <prediction index="15875">
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  <prediction index="15876">
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  <prediction index="15877">
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  <prediction index="15878">
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  <prediction index="15879">
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  <prediction index="15880">
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  <prediction index="15881">
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  <prediction index="15882">
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  <prediction index="15883">
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      <class_label index="1">0.028</class_label>
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  <prediction index="15884">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="15885">
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  <prediction index="15886">
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      <class_label index="1">0.003</class_label>
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  <prediction index="15887">
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  <prediction index="15888">
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  <prediction index="15889">
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  <prediction index="15893">
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  <prediction index="15894">
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      <class_label index="1" predicted="yes">0.871</class_label>
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      <class_label index="1">0.36</class_label>
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  <prediction index="15919">
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  <prediction index="15922">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="15923">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="15924">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="15925">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="15926">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.003</class_label>
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  <prediction index="15927">
    <actual_label index="2">&gt;50K</actual_label>
    <predicted_label index="2">&gt;50K</predicted_label>
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      <class_label index="1">0.003</class_label>
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  <prediction index="15928">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="15930">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="15931">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="15932">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="15933">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="15934">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="15935">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="15936">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="15937">
    <actual_label index="2">&gt;50K</actual_label>
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  <prediction index="15938">
    <actual_label index="2">&gt;50K</actual_label>
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  <prediction index="15939">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="15940">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="15941">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="15942">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.367</class_label>
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  <prediction index="15943">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="15944">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="15945">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="15946">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="15947">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="15948">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="15949">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="15950">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="15951">
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  <prediction index="15952">
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  <prediction index="15953">
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  <prediction index="15954">
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  <prediction index="15955">
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  <prediction index="15956">
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  <prediction index="15957">
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  <prediction index="15958">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="15959">
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      <class_label index="1">0.217</class_label>
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  <prediction index="15960">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="15961">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="15962">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="15963">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="15964">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="15965">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="15966">
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      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="15967">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="15968">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="15969">
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  <prediction index="15970">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="15971">
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  <prediction index="15975">
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      <class_label index="1">0.4</class_label>
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  <prediction index="15980">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="16894">
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  <prediction index="16895">
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  <prediction index="16900">
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  <prediction index="16902">
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  <prediction index="16903">
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  <prediction index="16906">
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    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.003</class_label>
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  <prediction index="16908">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="16909">
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  <prediction index="16910">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="16911">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.217</class_label>
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  <prediction index="16912">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.003</class_label>
      <class_label index="2" predicted="yes">0.997</class_label>
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  <prediction index="16914">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="16915">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="16916">
    <actual_label index="2">&gt;50K</actual_label>
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    <error>no</error>
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      <class_label index="1">0.3</class_label>
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  <prediction index="16917">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="16918">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.003</class_label>
      <class_label index="2" predicted="yes">0.997</class_label>
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  <prediction index="16919">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="16920">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1">0.217</class_label>
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  <prediction index="16921">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.217</class_label>
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  <prediction index="16922">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="16923">
    <actual_label index="2">&gt;50K</actual_label>
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    <error>no</error>
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      <class_label index="1">0.367</class_label>
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  <prediction index="16924">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="16925">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="16926">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="16927">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="16928">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="16929">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1">0.258</class_label>
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  <prediction index="16930">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="16931">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="16932">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="16933">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.329</class_label>
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  <prediction index="16934">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="16935">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.003</class_label>
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  <prediction index="16936">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="16937">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="16938">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.217</class_label>
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  <prediction index="16939">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="16941">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="16942">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.003</class_label>
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  <prediction index="16943">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="16944">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.003</class_label>
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  <prediction index="16945">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="16947">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.329</class_label>
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  <prediction index="16949">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.329</class_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="16953">
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      <class_label index="1" predicted="yes">0.871</class_label>
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      <class_label index="1">0.003</class_label>
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  <prediction index="16956">
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    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="16973">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.245</class_label>
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  <prediction index="16974">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="16975">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="16976">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="16977">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="16978">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="16979">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="16980">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="16981">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="16982">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="16983">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.003</class_label>
      <class_label index="2" predicted="yes">0.997</class_label>
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  <prediction index="16984">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="16985">
    <actual_label index="2">&gt;50K</actual_label>
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    <error>no</error>
    <distribution>
      <class_label index="1">0.012</class_label>
      <class_label index="2" predicted="yes">0.988</class_label>
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  <prediction index="16986">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="16987">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="16988">
    <actual_label index="1">&lt;=50K</actual_label>
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    <error>no</error>
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      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="16989">
    <actual_label index="2">&gt;50K</actual_label>
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    <error>no</error>
    <distribution>
      <class_label index="1">0.003</class_label>
      <class_label index="2" predicted="yes">0.997</class_label>
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  <prediction index="16990">
    <actual_label index="2">&gt;50K</actual_label>
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    <distribution>
      <class_label index="1">0.003</class_label>
      <class_label index="2" predicted="yes">0.997</class_label>
    </distribution>
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  <prediction index="16991">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="16992">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="16993">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="16994">
    <actual_label index="1">&lt;=50K</actual_label>
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    <distribution>
      <class_label index="1">0.36</class_label>
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  <prediction index="16995">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="16996">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="16997">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="16998">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="16999">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="17000">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="17001">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.029</class_label>
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  <prediction index="17002">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="17003">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="17004">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="17005">
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  <prediction index="17006">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="17007">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="17008">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="17009">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="17014">
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  <prediction index="17015">
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  <prediction index="17018">
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  <prediction index="17019">
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  <prediction index="17626">
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  <prediction index="17630">
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  <prediction index="17830">
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  <prediction index="17834">
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  <prediction index="17836">
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  <prediction index="17865">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="17873">
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    <actual_label index="1">&lt;=50K</actual_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="17882">
    <actual_label index="1">&lt;=50K</actual_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="17884">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="17885">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="17886">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="17887">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="17888">
    <actual_label index="2">&gt;50K</actual_label>
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  <prediction index="17889">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="17890">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="17891">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="17892">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="17893">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="17894">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="17895">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="17896">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="17897">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="17898">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="17899">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.471</class_label>
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  <prediction index="17900">
    <actual_label index="2">&gt;50K</actual_label>
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  <prediction index="17901">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="17902">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="17903">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="17904">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.329</class_label>
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  <prediction index="17905">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="17906">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="17907">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="17908">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="17909">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="17910">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="17911">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="17912">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="17913">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.4</class_label>
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  <prediction index="17914">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="17917">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="17918">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="17919">
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      <class_label index="1">0.329</class_label>
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  <prediction index="17920">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="17921">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="17922">
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    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="18016">
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  <prediction index="18026">
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  <prediction index="18027">
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  <prediction index="18028">
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  <prediction index="18029">
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  <prediction index="18030">
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  <prediction index="18031">
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      <class_label index="1">0.367</class_label>
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  <prediction index="18033">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="18034">
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  <prediction index="18035">
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      <class_label index="1">0.4</class_label>
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  <prediction index="18082">
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  <prediction index="18083">
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  <prediction index="18085">
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  <prediction index="18098">
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  <prediction index="18744">
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  <prediction index="18745">
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  <prediction index="18802">
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  <prediction index="18804">
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  <prediction index="18806">
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  <prediction index="18807">
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  <prediction index="18808">
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      <class_label index="1">0.003</class_label>
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  <prediction index="18809">
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  <prediction index="18810">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="18811">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="18812">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.367</class_label>
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  <prediction index="18813">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="18814">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="18815">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="18816">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="18817">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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    <actual_label index="2">&gt;50K</actual_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="18823">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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      <class_label index="1">0.003</class_label>
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  <prediction index="18840">
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  <prediction index="18847">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="18848">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="18850">
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  <prediction index="18851">
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  <prediction index="18852">
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  <prediction index="18859">
    <actual_label index="2">&gt;50K</actual_label>
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  <prediction index="18860">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="18861">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1">0.329</class_label>
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  <prediction index="18862">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="18863">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="18864">
    <actual_label index="2">&gt;50K</actual_label>
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  <prediction index="18865">
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  <prediction index="18866">
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  <prediction index="18867">
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  <prediction index="18868">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="18869">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="18870">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="18871">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="18872">
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  <prediction index="18873">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="18874">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.13</class_label>
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  <prediction index="18875">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.012</class_label>
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  <prediction index="18876">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="18877">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="18878">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="18879">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="18880">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.028</class_label>
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  <prediction index="18881">
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  <prediction index="18882">
    <actual_label index="2">&gt;50K</actual_label>
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  <prediction index="18883">
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  <prediction index="18884">
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  <prediction index="18885">
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  <prediction index="18886">
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  <prediction index="18887">
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  <prediction index="18888">
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  <prediction index="18889">
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  <prediction index="18890">
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  <prediction index="18891">
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  <prediction index="18892">
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  <prediction index="18893">
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  <prediction index="18894">
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  <prediction index="18896">
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  <prediction index="18897">
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  <prediction index="18898">
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  <prediction index="18899">
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  <prediction index="18900">
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      <class_label index="1">0.245</class_label>
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  <prediction index="18901">
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  <prediction index="18902">
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  <prediction index="18904">
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  <prediction index="18905">
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  <prediction index="18906">
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  <prediction index="18907">
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    <actual_label index="1">&lt;=50K</actual_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="18934">
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  <prediction index="18935">
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  <prediction index="18936">
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  <prediction index="18937">
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  <prediction index="18938">
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      <class_label index="1">0.4</class_label>
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  <prediction index="18939">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.258</class_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="18942">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="18943">
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  <prediction index="18944">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="18945">
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    <actual_label index="1">&lt;=50K</actual_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="19524">
    <actual_label index="1">&lt;=50K</actual_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="19527">
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  <prediction index="19528">
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  <prediction index="19529">
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  <prediction index="19530">
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  <prediction index="19693">
    <actual_label index="1">&lt;=50K</actual_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="19700">
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    <actual_label index="1">&lt;=50K</actual_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1">0.4</class_label>
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  <prediction index="19704">
    <actual_label index="1">&lt;=50K</actual_label>
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    <actual_label index="2">&gt;50K</actual_label>
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  <prediction index="19706">
    <actual_label index="1">&lt;=50K</actual_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.361</class_label>
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    <actual_label index="2">&gt;50K</actual_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1">0.4</class_label>
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  <prediction index="19723">
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  <prediction index="19724">
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      <class_label index="1">0.4</class_label>
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      <class_label index="1">0.4</class_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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      <class_label index="1">0.003</class_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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      <class_label index="1">0.471</class_label>
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  <prediction index="20434">
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    <actual_label index="1">&lt;=50K</actual_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1">0.4</class_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="20872">
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  <prediction index="20874">
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  <prediction index="20875">
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  <prediction index="20877">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="20881">
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  <prediction index="20883">
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  <prediction index="20884">
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  <prediction index="20885">
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  <prediction index="20886">
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  <prediction index="20887">
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  <prediction index="20888">
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  <prediction index="20889">
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  <prediction index="20890">
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  <prediction index="20891">
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  <prediction index="20892">
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  <prediction index="20893">
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  <prediction index="20894">
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  <prediction index="20895">
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  <prediction index="20897">
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  <prediction index="20898">
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  <prediction index="20900">
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  <prediction index="20901">
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  <prediction index="20902">
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  <prediction index="20903">
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  <prediction index="20904">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="21035">
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      <class_label index="1">0.003</class_label>
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  <prediction index="21036">
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  <prediction index="21074">
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  <prediction index="21075">
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  <prediction index="21077">
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  <prediction index="21080">
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  <prediction index="21081">
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  <prediction index="21082">
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  <prediction index="21083">
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  <prediction index="21084">
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  <prediction index="21085">
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  <prediction index="21257">
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  <prediction index="21259">
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  <prediction index="21264">
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  <prediction index="21266">
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  <prediction index="21267">
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  <prediction index="21268">
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  <prediction index="21269">
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  <prediction index="21272">
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  <prediction index="21273">
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  <prediction index="21274">
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  <prediction index="21275">
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  <prediction index="21276">
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  <prediction index="21277">
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  <prediction index="21278">
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  <prediction index="21279">
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  <prediction index="21280">
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  <prediction index="21281">
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  <prediction index="21282">
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  <prediction index="21283">
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  <prediction index="21284">
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  <prediction index="21285">
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  <prediction index="21286">
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  <prediction index="21287">
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  <prediction index="21288">
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      <class_label index="1">0.028</class_label>
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  <prediction index="21293">
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  <prediction index="21332">
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  <prediction index="21333">
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  <prediction index="21334">
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  <prediction index="21335">
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  <prediction index="21337">
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  <prediction index="21338">
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  <prediction index="21339">
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  <prediction index="21340">
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  <prediction index="21341">
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  <prediction index="21342">
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  <prediction index="21343">
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  <prediction index="21344">
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  <prediction index="21345">
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  <prediction index="21347">
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  <prediction index="21348">
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  <prediction index="21349">
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      <class_label index="1">0.003</class_label>
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  <prediction index="21350">
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  <prediction index="21352">
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  <prediction index="21353">
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  <prediction index="21355">
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  <prediction index="21357">
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      <class_label index="1">0.4</class_label>
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  <prediction index="21369">
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  <prediction index="21372">
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  <prediction index="21383">
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  <prediction index="21387">
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  <prediction index="21388">
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  <prediction index="21392">
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  <prediction index="21393">
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  <prediction index="21395">
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  <prediction index="21396">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="21397">
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  <prediction index="21398">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="21399">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="21400">
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  <prediction index="21403">
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  <prediction index="21404">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="21405">
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  <prediction index="21406">
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  <prediction index="21407">
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  <prediction index="21408">
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      <class_label index="1">0.367</class_label>
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  <prediction index="21409">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.217</class_label>
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  <prediction index="21410">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="21411">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="21412">
    <actual_label index="2">&gt;50K</actual_label>
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  <prediction index="21413">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="21414">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="21415">
    <actual_label index="1">&lt;=50K</actual_label>
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    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.003</class_label>
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  <prediction index="21417">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="21418">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="21420">
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      <class_label index="1">0.003</class_label>
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  <prediction index="21421">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="21422">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="21423">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="21424">
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      <class_label index="1" predicted="yes">0.871</class_label>
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      <class_label index="1">0.003</class_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="21427">
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  <prediction index="21430">
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  <prediction index="21538">
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  <prediction index="21656">
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  <prediction index="21657">
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  <prediction index="21666">
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  <prediction index="21668">
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  <prediction index="21669">
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  <prediction index="21707">
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  <prediction index="21708">
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      <class_label index="1">0.4</class_label>
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  <prediction index="21710">
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  <prediction index="21713">
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  <prediction index="21716">
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  <prediction index="21717">
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  <prediction index="21720">
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  <prediction index="21721">
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  <prediction index="21722">
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  <prediction index="21723">
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  <prediction index="21724">
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  <prediction index="21725">
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  <prediction index="21726">
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  <prediction index="21727">
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  <prediction index="21728">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="21729">
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  <prediction index="21730">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="21731">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.028</class_label>
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  <prediction index="21732">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="21733">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="21734">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="21735">
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  <prediction index="21736">
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  <prediction index="21737">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="21738">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="21739">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="21740">
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  <prediction index="21741">
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  <prediction index="21742">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="21743">
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  <prediction index="21744">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="21745">
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  <prediction index="21746">
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  <prediction index="21747">
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      <class_label index="1">0.217</class_label>
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  <prediction index="21748">
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  <prediction index="21752">
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  <prediction index="21753">
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  <prediction index="21756">
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  <prediction index="21757">
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  <prediction index="21759">
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  <prediction index="21764">
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  <prediction index="21765">
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  <prediction index="21766">
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  <prediction index="21767">
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    <actual_label index="2">&gt;50K</actual_label>
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  <prediction index="21838">
    <actual_label index="1">&lt;=50K</actual_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="21840">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="21841">
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  <prediction index="21842">
    <actual_label index="2">&gt;50K</actual_label>
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  <prediction index="21843">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="21844">
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  <prediction index="21845">
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  <prediction index="21846">
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  <prediction index="21847">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="21848">
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  <prediction index="21849">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.012</class_label>
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  <prediction index="21850">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="21851">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1">0.367</class_label>
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  <prediction index="21852">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.329</class_label>
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  <prediction index="21853">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="21854">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="21855">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="21856">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="21857">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.471</class_label>
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  <prediction index="21858">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="21859">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="21860">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="21861">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="21862">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="21863">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="21864">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="21865">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="21866">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="21867">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="21868">
    <actual_label index="2">&gt;50K</actual_label>
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    <distribution>
      <class_label index="1">0.003</class_label>
      <class_label index="2" predicted="yes">0.997</class_label>
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  <prediction index="21869">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="21870">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="21871">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="21872">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="21873">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="21874">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="21875">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="21876">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="21877">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="21878">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="21879">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="21880">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="21881">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="21882">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="21883">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="21884">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="21885">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="21886">
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  <prediction index="21887">
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      <class_label index="1">0.4</class_label>
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  <prediction index="21888">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="21889">
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  <prediction index="21890">
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  <prediction index="21891">
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  <prediction index="21892">
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  <prediction index="21893">
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  <prediction index="21894">
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  <prediction index="21895">
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  <prediction index="21896">
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  <prediction index="21897">
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      <class_label index="1">0.4</class_label>
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    <actual_label index="2">&gt;50K</actual_label>
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  <prediction index="21922">
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  <prediction index="21923">
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  <prediction index="21924">
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  <prediction index="21925">
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  <prediction index="21926">
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      <class_label index="1">0.4</class_label>
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  <prediction index="21927">
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  <prediction index="21928">
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  <prediction index="21929">
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  <prediction index="21930">
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  <prediction index="21931">
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  <prediction index="21932">
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  <prediction index="21933">
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  <prediction index="21934">
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      <class_label index="1">0.367</class_label>
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  <prediction index="21935">
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  <prediction index="21938">
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  <prediction index="21964">
    <actual_label index="2">&gt;50K</actual_label>
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  <prediction index="21965">
    <actual_label index="2">&gt;50K</actual_label>
    <predicted_label index="2">&gt;50K</predicted_label>
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  <prediction index="21966">
    <actual_label index="2">&gt;50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
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  <prediction index="21967">
    <actual_label index="2">&gt;50K</actual_label>
    <predicted_label index="2">&gt;50K</predicted_label>
    <error>no</error>
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      <class_label index="1">0.029</class_label>
      <class_label index="2" predicted="yes">0.971</class_label>
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  <prediction index="21968">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
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    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="21969">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="21970">
    <actual_label index="2">&gt;50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>yes</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="21971">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="21972">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="21973">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="21974">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
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      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="21975">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="21976">
    <actual_label index="2">&gt;50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>yes</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="21977">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="21978">
    <actual_label index="2">&gt;50K</actual_label>
    <predicted_label index="2">&gt;50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1">0.329</class_label>
      <class_label index="2" predicted="yes">0.671</class_label>
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  <prediction index="21979">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="21980">
    <actual_label index="2">&gt;50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>yes</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="21981">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
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  <prediction index="21982">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
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  <prediction index="21983">
    <actual_label index="2">&gt;50K</actual_label>
    <predicted_label index="2">&gt;50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1">0.4</class_label>
      <class_label index="2" predicted="yes">0.6</class_label>
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  <prediction index="21984">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="21985">
    <actual_label index="2">&gt;50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>yes</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="21986">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="21987">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="21988">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="21989">
    <actual_label index="2">&gt;50K</actual_label>
    <predicted_label index="2">&gt;50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1">0.012</class_label>
      <class_label index="2" predicted="yes">0.988</class_label>
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  <prediction index="21990">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="21991">
    <actual_label index="2">&gt;50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>yes</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="21992">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="21993">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="21994">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="21995">
    <actual_label index="2">&gt;50K</actual_label>
    <predicted_label index="2">&gt;50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1">0.367</class_label>
      <class_label index="2" predicted="yes">0.633</class_label>
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  <prediction index="21996">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="21997">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="21998">
    <actual_label index="2">&gt;50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>yes</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="21999">
    <actual_label index="2">&gt;50K</actual_label>
    <predicted_label index="2">&gt;50K</predicted_label>
    <error>no</error>
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      <class_label index="1">0.406</class_label>
      <class_label index="2" predicted="yes">0.594</class_label>
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  <prediction index="22000">
    <actual_label index="2">&gt;50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>yes</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="22001">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="22002">
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  <prediction index="22009">
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    <distribution>
      <class_label index="1">0.4</class_label>
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      <class_label index="2">0.129</class_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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    <distribution>
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      <class_label index="2">0.129</class_label>
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  <prediction index="22020">
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      <class_label index="2">0.129</class_label>
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  <prediction index="22021">
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    <error>no</error>
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  <prediction index="22022">
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  <prediction index="22023">
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    <actual_label index="1">&lt;=50K</actual_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="25479">
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    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="25483">
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  <prediction index="25486">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="25487">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="25488">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="25489">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="25490">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="25491">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="25492">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1">0.329</class_label>
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  <prediction index="25493">
    <actual_label index="1">&lt;=50K</actual_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="25495">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="25497">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="25498">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="25499">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="25500">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="25501">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="25502">
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  <prediction index="25503">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="25504">
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  <prediction index="25505">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="25506">
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  <prediction index="25507">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="25508">
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  <prediction index="25509">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="25510">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="25511">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="25512">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="25513">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="25515">
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  <prediction index="25517">
    <actual_label index="1">&lt;=50K</actual_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="25948">
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  <prediction index="25964">
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  <prediction index="25967">
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  <prediction index="26021">
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      <class_label index="1">0.003</class_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="26030">
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  <prediction index="26033">
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  <prediction index="26035">
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      <class_label index="1">0.4</class_label>
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      <class_label index="1">0.258</class_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="26078">
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  <prediction index="26084">
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  <prediction index="26087">
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  <prediction index="26091">
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  <prediction index="26092">
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  <prediction index="26093">
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  <prediction index="26094">
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      <class_label index="1">0.13</class_label>
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  <prediction index="27845">
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  <prediction index="27847">
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  <prediction index="27906">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="27908">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="27910">
    <actual_label index="1">&lt;=50K</actual_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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    <actual_label index="2">&gt;50K</actual_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="27914">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="27917">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="27920">
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      <class_label index="1" predicted="yes">0.871</class_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="27925">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="27926">
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      <class_label index="1" predicted="yes">0.871</class_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="27930">
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      <class_label index="1">0.258</class_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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    <actual_label index="2">&gt;50K</actual_label>
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  <prediction index="27944">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="27945">
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  <prediction index="27946">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="27947">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.4</class_label>
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  <prediction index="27948">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="27949">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="27950">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="27951">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="27952">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="27953">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="27954">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="27955">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1">0.217</class_label>
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  <prediction index="27956">
    <actual_label index="2">&gt;50K</actual_label>
    <predicted_label index="2">&gt;50K</predicted_label>
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      <class_label index="1">0.012</class_label>
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  <prediction index="27957">
    <actual_label index="2">&gt;50K</actual_label>
    <predicted_label index="2">&gt;50K</predicted_label>
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      <class_label index="1">0.003</class_label>
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  <prediction index="27958">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="27959">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="27960">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="27961">
    <actual_label index="2">&gt;50K</actual_label>
    <predicted_label index="2">&gt;50K</predicted_label>
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    <distribution>
      <class_label index="1">0.028</class_label>
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  <prediction index="27962">
    <actual_label index="2">&gt;50K</actual_label>
    <predicted_label index="2">&gt;50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1">0.003</class_label>
      <class_label index="2" predicted="yes">0.997</class_label>
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  <prediction index="27963">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="27964">
    <actual_label index="1">&lt;=50K</actual_label>
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    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="27965">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="27966">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="27967">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="27968">
    <actual_label index="1">&lt;=50K</actual_label>
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    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="27969">
    <actual_label index="1">&lt;=50K</actual_label>
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    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
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  <prediction index="27970">
    <actual_label index="1">&lt;=50K</actual_label>
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    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
  </prediction>
  <prediction index="27971">
    <actual_label index="2">&gt;50K</actual_label>
    <predicted_label index="2">&gt;50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1">0.406</class_label>
      <class_label index="2" predicted="yes">0.594</class_label>
    </distribution>
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  <prediction index="27972">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
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    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
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  <prediction index="27973">
    <actual_label index="1">&lt;=50K</actual_label>
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    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="27974">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
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    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
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  <prediction index="27975">
    <actual_label index="1">&lt;=50K</actual_label>
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    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="27976">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="27977">
    <actual_label index="1">&lt;=50K</actual_label>
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    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="27978">
    <actual_label index="1">&lt;=50K</actual_label>
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    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="27979">
    <actual_label index="1">&lt;=50K</actual_label>
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    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
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  <prediction index="27980">
    <actual_label index="1">&lt;=50K</actual_label>
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    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
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  <prediction index="27981">
    <actual_label index="2">&gt;50K</actual_label>
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    <distribution>
      <class_label index="1">0.012</class_label>
      <class_label index="2" predicted="yes">0.988</class_label>
    </distribution>
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  <prediction index="27982">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
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    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="27983">
    <actual_label index="2">&gt;50K</actual_label>
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    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="27984">
    <actual_label index="2">&gt;50K</actual_label>
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    <error>no</error>
    <distribution>
      <class_label index="1">0.329</class_label>
      <class_label index="2" predicted="yes">0.671</class_label>
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  <prediction index="27985">
    <actual_label index="2">&gt;50K</actual_label>
    <predicted_label index="2">&gt;50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1">0.003</class_label>
      <class_label index="2" predicted="yes">0.997</class_label>
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  <prediction index="27986">
    <actual_label index="2">&gt;50K</actual_label>
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    <distribution>
      <class_label index="1">0.003</class_label>
      <class_label index="2" predicted="yes">0.997</class_label>
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  <prediction index="27987">
    <actual_label index="1">&lt;=50K</actual_label>
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    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="27988">
    <actual_label index="1">&lt;=50K</actual_label>
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    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="27989">
    <actual_label index="1">&lt;=50K</actual_label>
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    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="27990">
    <actual_label index="1">&lt;=50K</actual_label>
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    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
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  <prediction index="27991">
    <actual_label index="1">&lt;=50K</actual_label>
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    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="27992">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="27993">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="27994">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="27995">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="27996">
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      <class_label index="1">0.329</class_label>
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  <prediction index="27997">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="27998">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="27999">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="28000">
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  <prediction index="28001">
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  <prediction index="28002">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="28003">
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  <prediction index="28004">
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  <prediction index="28005">
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  <prediction index="28006">
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  <prediction index="28007">
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    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="28013">
    <actual_label index="1">&lt;=50K</actual_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="28017">
    <actual_label index="2">&gt;50K</actual_label>
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  <prediction index="28018">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="28019">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="28020">
    <actual_label index="2">&gt;50K</actual_label>
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  <prediction index="28021">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="28022">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="28023">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.329</class_label>
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  <prediction index="28024">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="28025">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.361</class_label>
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  <prediction index="28026">
    <actual_label index="1">&lt;=50K</actual_label>
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    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="28027">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="28028">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.003</class_label>
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  <prediction index="28029">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="28030">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="28031">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="28032">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1">0.329</class_label>
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  <prediction index="28033">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.347</class_label>
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  <prediction index="28034">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="28035">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="28036">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="28037">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="28038">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="28039">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="28040">
    <actual_label index="2">&gt;50K</actual_label>
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    <distribution>
      <class_label index="1">0.028</class_label>
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  <prediction index="28041">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="28042">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="28043">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="28044">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="28045">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="28046">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="28047">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.258</class_label>
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  <prediction index="28048">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="28049">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="28050">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.012</class_label>
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  <prediction index="28051">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="28052">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="28053">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="28054">
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    <distribution>
      <class_label index="1">0.329</class_label>
      <class_label index="2" predicted="yes">0.671</class_label>
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  <prediction index="28055">
    <actual_label index="1">&lt;=50K</actual_label>
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    <distribution>
      <class_label index="1">0.4</class_label>
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  <prediction index="28056">
    <actual_label index="2">&gt;50K</actual_label>
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    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="28057">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.329</class_label>
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  <prediction index="28058">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="28059">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="28060">
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      <class_label index="1">0.258</class_label>
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  <prediction index="28061">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="28062">
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      <class_label index="1">0.471</class_label>
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  <prediction index="28063">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="28064">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="28065">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="28066">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="28067">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="28068">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="28069">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="28070">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="28071">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="28072">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="28594">
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  <prediction index="28598">
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  <prediction index="28602">
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  <prediction index="28604">
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  <prediction index="28605">
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  <prediction index="28606">
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  <prediction index="28608">
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  <prediction index="28609">
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  <prediction index="28610">
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  <prediction index="28611">
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      <class_label index="1">0.003</class_label>
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  <prediction index="28613">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="28614">
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  <prediction index="28615">
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  <prediction index="28616">
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  <prediction index="28617">
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  <prediction index="28618">
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  <prediction index="28619">
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  <prediction index="28620">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="28621">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="28622">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="28623">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="28624">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="28625">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="28626">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="28627">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="28628">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="28629">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="28630">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="28631">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="28632">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="28633">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="28634">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="28635">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="28636">
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      <class_label index="1" predicted="yes">0.871</class_label>
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      <class_label index="1">0.13</class_label>
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  <prediction index="28638">
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      <class_label index="1" predicted="yes">0.871</class_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="28641">
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  <prediction index="28685">
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  <prediction index="28693">
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  <prediction index="28869">
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  <prediction index="28871">
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  <prediction index="28872">
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  <prediction index="28873">
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  <prediction index="28875">
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  <prediction index="28877">
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  <prediction index="28878">
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  <prediction index="28879">
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  <prediction index="28880">
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  <prediction index="28881">
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  <prediction index="28882">
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  <prediction index="28883">
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  <prediction index="28884">
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  <prediction index="28885">
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  <prediction index="28887">
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  <prediction index="28888">
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  <prediction index="28889">
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  <prediction index="28890">
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  <prediction index="28891">
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  <prediction index="28893">
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  <prediction index="28898">
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  <prediction index="28902">
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  <prediction index="28919">
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  <prediction index="28922">
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  <prediction index="28923">
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  <prediction index="28924">
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  <prediction index="28925">
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  <prediction index="28926">
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  <prediction index="28927">
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  <prediction index="28928">
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  <prediction index="28929">
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  <prediction index="28930">
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  <prediction index="28931">
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  <prediction index="28932">
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  <prediction index="28933">
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  <prediction index="28934">
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  <prediction index="28935">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="28936">
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  <prediction index="28937">
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  <prediction index="28938">
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  <prediction index="28939">
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      <class_label index="1">0.003</class_label>
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  <prediction index="28940">
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  <prediction index="28941">
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  <prediction index="28942">
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  <prediction index="28943">
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  <prediction index="28944">
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  <prediction index="28945">
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  <prediction index="28946">
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  <prediction index="28947">
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      <class_label index="1">0.36</class_label>
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  <prediction index="28948">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="28949">
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  <prediction index="28950">
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  <prediction index="28951">
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  <prediction index="28952">
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  <prediction index="28953">
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  <prediction index="28954">
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  <prediction index="28955">
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  <prediction index="28956">
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  <prediction index="28957">
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  <prediction index="28958">
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  <prediction index="28959">
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  <prediction index="28960">
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  <prediction index="28961">
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  <prediction index="28962">
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  <prediction index="28963">
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  <prediction index="28964">
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  <prediction index="28965">
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  <prediction index="28966">
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  <prediction index="28967">
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      <class_label index="1">0.028</class_label>
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  <prediction index="28968">
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  <prediction index="28970">
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  <prediction index="28977">
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  <prediction index="28978">
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  <prediction index="28982">
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  <prediction index="29338">
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  <prediction index="29847">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="29858">
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  <prediction index="29862">
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    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="30026">
    <actual_label index="1">&lt;=50K</actual_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="30028">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="30029">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="30030">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="30031">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="30032">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="30033">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="30034">
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  <prediction index="30035">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="30036">
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  <prediction index="30037">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="30038">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="30039">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="30040">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="30041">
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  <prediction index="30042">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="30043">
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  <prediction index="30044">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="30045">
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  <prediction index="30046">
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  <prediction index="30047">
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  <prediction index="30048">
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  <prediction index="30049">
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  <prediction index="30050">
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  <prediction index="30051">
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  <prediction index="30052">
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  <prediction index="30053">
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  <prediction index="30054">
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  <prediction index="30055">
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  <prediction index="30056">
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  <prediction index="30057">
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  <prediction index="30058">
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  <prediction index="30059">
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  <prediction index="30060">
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      <class_label index="1">0.13</class_label>
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  <prediction index="30061">
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  <prediction index="30063">
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  <prediction index="30064">
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  <prediction index="30065">
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  <prediction index="30066">
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  <prediction index="30068">
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    <actual_label index="2">&gt;50K</actual_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="30430">
    <actual_label index="1">&lt;=50K</actual_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.4</class_label>
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  <prediction index="30434">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.003</class_label>
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  <prediction index="30435">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="30436">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="30437">
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  <prediction index="30438">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="30439">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="30440">
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  <prediction index="30441">
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  <prediction index="30442">
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  <prediction index="30443">
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  <prediction index="30444">
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  <prediction index="30445">
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  <prediction index="30446">
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  <prediction index="30447">
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  <prediction index="30448">
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  <prediction index="30449">
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  <prediction index="30450">
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  <prediction index="30479">
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  <prediction index="30492">
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  <prediction index="30497">
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  <prediction index="30498">
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  <prediction index="30500">
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  <prediction index="30502">
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  <prediction index="30503">
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  <prediction index="30504">
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  <prediction index="30505">
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      <class_label index="1">0.217</class_label>
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  <prediction index="30506">
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  <prediction index="30508">
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  <prediction index="30509">
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  <prediction index="30510">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="30511">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="30512">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1">0.003</class_label>
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  <prediction index="30514">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="30517">
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    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1">0.003</class_label>
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      <class_label index="1">0.003</class_label>
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      <class_label index="1">0.4</class_label>
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  <prediction index="30632">
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  <prediction index="30642">
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  <prediction index="30877">
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  <prediction index="30881">
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  <prediction index="30884">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="30885">
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  <prediction index="30886">
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  <prediction index="30887">
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      <class_label index="1">0.4</class_label>
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  <prediction index="30888">
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  <prediction index="30889">
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  <prediction index="30890">
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  <prediction index="30891">
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  <prediction index="30892">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="30893">
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  <prediction index="30894">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="30895">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.329</class_label>
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  <prediction index="30896">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.4</class_label>
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  <prediction index="30897">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="30898">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.003</class_label>
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  <prediction index="30899">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="30900">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="30901">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="30902">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="30903">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="30904">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.217</class_label>
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  <prediction index="30905">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="30906">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="30907">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="30908">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.4</class_label>
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  <prediction index="30909">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="30910">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="30911">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="30912">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="30913">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="30914">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="30915">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="30916">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="30917">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="30918">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="30919">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="30920">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1">0.36</class_label>
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  <prediction index="30921">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="30922">
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      <class_label index="1">0.4</class_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="30937">
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  <prediction index="30938">
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  <prediction index="30943">
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  <prediction index="30944">
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  <prediction index="30947">
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  <prediction index="30948">
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  <prediction index="30949">
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  <prediction index="30950">
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  <prediction index="30951">
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  <prediction index="30953">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="30954">
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  <prediction index="30955">
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  <prediction index="30956">
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  <prediction index="30957">
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  <prediction index="30958">
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  <prediction index="30959">
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  <prediction index="30960">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="30961">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="30962">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="30963">
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  <prediction index="30964">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="30965">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="30966">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="30967">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="30968">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="30969">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="30970">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="30971">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="30972">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="30973">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="30974">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="30975">
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      <class_label index="1">0.217</class_label>
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  <prediction index="30976">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="30977">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="30978">
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      <class_label index="1">0.329</class_label>
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  <prediction index="30979">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="30980">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="30981">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="30982">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="30983">
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  <prediction index="30984">
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      <class_label index="1">0.4</class_label>
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  <prediction index="30985">
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  <prediction index="30986">
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  <prediction index="30987">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="30990">
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      <class_label index="1">0.258</class_label>
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  <prediction index="30991">
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  <prediction index="30992">
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  <prediction index="30993">
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  <prediction index="30994">
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  <prediction index="30995">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="31414">
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  <prediction index="31424">
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  <prediction index="31425">
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  <prediction index="31426">
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  <prediction index="31428">
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  <prediction index="31554">
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    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
  </prediction>
  <prediction index="31974">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
  </prediction>
  <prediction index="31975">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
  </prediction>
  <prediction index="31976">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
  </prediction>
  <prediction index="31977">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
  </prediction>
  <prediction index="31978">
    <actual_label index="2">&gt;50K</actual_label>
    <predicted_label index="2">&gt;50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1">0.36</class_label>
      <class_label index="2" predicted="yes">0.64</class_label>
    </distribution>
  </prediction>
  <prediction index="31979">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
  </prediction>
  <prediction index="31980">
    <actual_label index="2">&gt;50K</actual_label>
    <predicted_label index="2">&gt;50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1">0.3</class_label>
      <class_label index="2" predicted="yes">0.7</class_label>
    </distribution>
  </prediction>
  <prediction index="31981">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
  </prediction>
  <prediction index="31982">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
  </prediction>
  <prediction index="31983">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="2">&gt;50K</predicted_label>
    <error>yes</error>
    <distribution>
      <class_label index="1">0.329</class_label>
      <class_label index="2" predicted="yes">0.671</class_label>
    </distribution>
  </prediction>
  <prediction index="31984">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="2">&gt;50K</predicted_label>
    <error>yes</error>
    <distribution>
      <class_label index="1">0.217</class_label>
      <class_label index="2" predicted="yes">0.783</class_label>
    </distribution>
  </prediction>
  <prediction index="31985">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
  </prediction>
  <prediction index="31986">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
  </prediction>
  <prediction index="31987">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
  </prediction>
  <prediction index="31988">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
  </prediction>
  <prediction index="31989">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
  </prediction>
  <prediction index="31990">
    <actual_label index="2">&gt;50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>yes</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
  </prediction>
  <prediction index="31991">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
  </prediction>
  <prediction index="31992">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
  </prediction>
  <prediction index="31993">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
  </prediction>
  <prediction index="31994">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="2">&gt;50K</predicted_label>
    <error>yes</error>
    <distribution>
      <class_label index="1">0.329</class_label>
      <class_label index="2" predicted="yes">0.671</class_label>
    </distribution>
  </prediction>
  <prediction index="31995">
    <actual_label index="2">&gt;50K</actual_label>
    <predicted_label index="2">&gt;50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1">0.258</class_label>
      <class_label index="2" predicted="yes">0.742</class_label>
    </distribution>
  </prediction>
  <prediction index="31996">
    <actual_label index="2">&gt;50K</actual_label>
    <predicted_label index="2">&gt;50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1">0.4</class_label>
      <class_label index="2" predicted="yes">0.6</class_label>
    </distribution>
  </prediction>
  <prediction index="31997">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
  </prediction>
  <prediction index="31998">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="2">&gt;50K</predicted_label>
    <error>yes</error>
    <distribution>
      <class_label index="1">0.406</class_label>
      <class_label index="2" predicted="yes">0.594</class_label>
    </distribution>
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  <prediction index="31999">
    <actual_label index="2">&gt;50K</actual_label>
    <predicted_label index="2">&gt;50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1">0.059</class_label>
      <class_label index="2" predicted="yes">0.941</class_label>
    </distribution>
  </prediction>
  <prediction index="32000">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
  </prediction>
  <prediction index="32001">
    <actual_label index="2">&gt;50K</actual_label>
    <predicted_label index="2">&gt;50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1">0.361</class_label>
      <class_label index="2" predicted="yes">0.639</class_label>
    </distribution>
  </prediction>
  <prediction index="32002">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
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  <prediction index="32003">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
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  <prediction index="32004">
    <actual_label index="2">&gt;50K</actual_label>
    <predicted_label index="2">&gt;50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1">0.471</class_label>
      <class_label index="2" predicted="yes">0.529</class_label>
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  <prediction index="32005">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="32006">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="32007">
    <actual_label index="1">&lt;=50K</actual_label>
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    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="32008">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="32009">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="32010">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="32011">
    <actual_label index="1">&lt;=50K</actual_label>
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    <error>no</error>
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      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="32012">
    <actual_label index="1">&lt;=50K</actual_label>
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    <error>no</error>
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      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="32013">
    <actual_label index="2">&gt;50K</actual_label>
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    <distribution>
      <class_label index="1">0.329</class_label>
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  <prediction index="32014">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="32015">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="32016">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="32017">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="32018">
    <actual_label index="1">&lt;=50K</actual_label>
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    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="32019">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="32020">
    <actual_label index="2">&gt;50K</actual_label>
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    <distribution>
      <class_label index="1">0.329</class_label>
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  <prediction index="32021">
    <actual_label index="1">&lt;=50K</actual_label>
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    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
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  <prediction index="32022">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1">0.217</class_label>
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  <prediction index="32023">
    <actual_label index="2">&gt;50K</actual_label>
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    <distribution>
      <class_label index="1">0.13</class_label>
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  <prediction index="32024">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="32025">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="32026">
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  <prediction index="32027">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="32028">
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  <prediction index="32029">
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  <prediction index="32030">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="32031">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="32032">
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  <prediction index="32035">
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  <prediction index="32036">
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      <class_label index="1" predicted="yes">0.871</class_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="32511">
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  <prediction index="32517">
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  <prediction index="32523">
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  <prediction index="32524">
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    <actual_label index="1">&lt;=50K</actual_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="32826">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="32830">
    <actual_label index="1">&lt;=50K</actual_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="32832">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="32834">
    <actual_label index="2">&gt;50K</actual_label>
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  <prediction index="32835">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="32836">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="32837">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="32838">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="32839">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.003</class_label>
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  <prediction index="32840">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.329</class_label>
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  <prediction index="32841">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.217</class_label>
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  <prediction index="32842">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="32843">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1">0.361</class_label>
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  <prediction index="32844">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="32845">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1">0.217</class_label>
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  <prediction index="32846">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="32847">
    <actual_label index="2">&gt;50K</actual_label>
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      <class_label index="1">0.329</class_label>
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  <prediction index="32848">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="32849">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="32850">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="32851">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="32852">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="32853">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="32854">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="32855">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="32856">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="32857">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="32858">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="32859">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="32860">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1">0.361</class_label>
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  <prediction index="32861">
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  <prediction index="32862">
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      <class_label index="1">0.36</class_label>
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  <prediction index="32863">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="32864">
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      <class_label index="1">0.406</class_label>
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  <prediction index="32865">
    <actual_label index="1">&lt;=50K</actual_label>
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="32866">
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      <class_label index="1" predicted="yes">0.871</class_label>
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  <prediction index="32867">
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  <prediction index="32868">
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  <prediction index="32869">
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  <prediction index="32871">
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  <prediction index="32872">
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  <prediction index="32873">
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  <prediction index="32874">
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  <prediction index="32875">
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  <prediction index="32966">
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  <prediction index="32972">
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  <prediction index="32974">
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  <prediction index="32978">
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  <prediction index="32979">
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  <prediction index="32980">
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      <class_label index="1">0.4</class_label>
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  <prediction index="32982">
    <actual_label index="1">&lt;=50K</actual_label>
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  <prediction index="32983">
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  <prediction index="32984">
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  <prediction index="32985">
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  <prediction index="33034">
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  <prediction index="33040">
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  <prediction index="33041">
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  <prediction index="33045">
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  <prediction index="33048">
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  </prediction>
  <prediction index="34053">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
  </prediction>
  <prediction index="34054">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
  </prediction>
  <prediction index="34055">
    <actual_label index="2">&gt;50K</actual_label>
    <predicted_label index="2">&gt;50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1">0.003</class_label>
      <class_label index="2" predicted="yes">0.997</class_label>
    </distribution>
  </prediction>
  <prediction index="34056">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
  </prediction>
  <prediction index="34057">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
  </prediction>
  <prediction index="34058">
    <actual_label index="2">&gt;50K</actual_label>
    <predicted_label index="2">&gt;50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1">0.329</class_label>
      <class_label index="2" predicted="yes">0.671</class_label>
    </distribution>
  </prediction>
  <prediction index="34059">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
  </prediction>
  <prediction index="34060">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
  </prediction>
  <prediction index="34061">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
  </prediction>
  <prediction index="34062">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
  </prediction>
  <prediction index="34063">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
  </prediction>
  <prediction index="34064">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
  </prediction>
  <prediction index="34065">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
  </prediction>
  <prediction index="34066">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
  </prediction>
  <prediction index="34067">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
  </prediction>
  <prediction index="34068">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="2">&gt;50K</predicted_label>
    <error>yes</error>
    <distribution>
      <class_label index="1">0.258</class_label>
      <class_label index="2" predicted="yes">0.742</class_label>
    </distribution>
  </prediction>
  <prediction index="34069">
    <actual_label index="1">&lt;=50K</actual_label>
    <predicted_label index="1">&lt;=50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1" predicted="yes">0.871</class_label>
      <class_label index="2">0.129</class_label>
    </distribution>
  </prediction>
  <prediction index="34070">
    <actual_label index="2">&gt;50K</actual_label>
    <predicted_label index="2">&gt;50K</predicted_label>
    <error>no</error>
    <distribution>
      <class_label index="1">0.217</class_label>
      <class_label index="2" predicted="yes">0.783</class_label>
    </distribution>
  </prediction>
</predictions>

=== Evaluation on training set ===

Time taken to test model on training data: 5.23 seconds

=== Summary ===

Correctly Classified Instances       29033               85.2157 %
Incorrectly Classified Instances      5037               14.7843 %
Kappa statistic                          0.5521
K&B Relative Info Score                 35.9285 %
K&B Information Score                 9712.3288 bits      0.2851 bits/instance
Class complexity | order 0           27032.3521 bits      0.7934 bits/instance
Class complexity | scheme            19531.7106 bits      0.5733 bits/instance
Complexity improvement     (Sf)       7500.6415 bits      0.2202 bits/instance
Mean absolute error                      0.2401
Root mean squared error                  0.3465
Relative absolute error                 65.9979 %
Root relative squared error             81.24   %
Total Number of Instances            34070     

=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 0.945    0.444    0.871      0.945    0.907      0.563    0.758     0.869     <=50K
                 0.556    0.055    0.761      0.556    0.642      0.563    0.758     0.606     >50K
Weighted Avg.    0.852    0.351    0.845      0.852    0.844      0.563    0.758     0.806     

=== Confusion Matrix ===

     a     b   <-- classified as
 24509  1417 |     a = <=50K
  3620  4524 |     b = >50K


