=== Run information ===

Scheme:       weka.classifiers.lazy.IBk -K 1 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\""
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) ===

IB1 instance-based classifier
using 1 nearest neighbour(s) for classification


Time taken to build model: 0.02 seconds

=== Evaluation on training set ===

Time taken to test model on training data: 53.91 seconds

=== Summary ===

Correctly Classified Instances       34069               99.9971 %
Incorrectly Classified Instances         1                0.0029 %
Kappa statistic                          0.9999
K&B Relative Info Score                 99.9856 %
K&B Information Score                27028.452  bits      0.7933 bits/instance
Class complexity | order 0           27032.3521 bits      0.7934 bits/instance
Class complexity | scheme                3.4414 bits      0.0001 bits/instance
Complexity improvement     (Sf)      27028.9107 bits      0.7933 bits/instance
Mean absolute error                      0.0001
Root mean squared error                  0.0038
Relative absolute error                  0.0161 %
Root relative squared error              0.8982 %
Total Number of Instances            34070     

=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 1.000    0.000    1.000      1.000    1.000      1.000    1.000     1.000     <=50K
                 1.000    0.000    1.000      1.000    1.000      1.000    1.000     1.000     >50K
Weighted Avg.    1.000    0.000    1.000      1.000    1.000      1.000    1.000     1.000     

=== Confusion Matrix ===

     a     b   <-- classified as
 25926     0 |     a = <=50K
     1  8143 |     b = >50K


