=== Run information ===

Scheme:       weka.classifiers.misc.InputMappedClassifier -I -trim -W weka.classifiers.rules.OneR -- -B 6
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:    user supplied test set:  size unknown (reading incrementally)

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

InputMappedClassifier:

CAPITAL-GAIN:
	< 3048.0	-> <=50K
	< 3120.0	-> >50K
	< 4243.5	-> <=50K
	< 4401.0	-> >50K
	< 4668.5	-> <=50K
	< 4826.0	-> >50K
	< 4932.5	-> <=50K
	< 4973.5	-> >50K
	< 5119.0	-> <=50K
	< 5316.5	-> >50K
	< 6389.0	-> <=50K
	< 6457.5	-> >50K
	< 6505.5	-> <=50K
	< 6618.5	-> >50K
	< 7073.5	-> <=50K
	< 10543.0	-> >50K
	< 10585.5	-> <=50K
	< 30961.5	-> >50K
	< 70654.5	-> <=50K
	>= 70654.5	-> >50K
(27662/34070 instances correct)

Attribute mappings:

Model attributes          	    Incoming attributes
--------------------------	    ----------------
(numeric) AGE             	--> 1 (numeric) AGE
(nominal) WORKCLASS       	--> 2 (nominal) WORKCLASS
(numeric) FNLWGT          	--> 3 (numeric) FNLWGT
(nominal) EDUCATION       	--> 4 (nominal) EDUCATION
(numeric) EDUCATION-NUM   	--> 5 (numeric) EDUCATION-NUM
(nominal) MARITAL-STATUS  	--> 6 (nominal) MARITAL-STATUS
(nominal) OCCUPATION      	--> 7 (nominal) OCCUPATION
(nominal) RELATIONSHIP    	--> 8 (nominal) RELATIONSHIP
(nominal) RACE            	--> 9 (nominal) RACE
(nominal) SEX             	--> 10 (nominal) SEX
(numeric) CAPITAL-GAIN    	--> 11 (numeric) CAPITAL-GAIN
(numeric) CAPITAL-LOSS    	--> 12 (numeric) CAPITAL-LOSS
(numeric) HOURS-PER-WEEK  	--> 13 (numeric) HOURS-PER-WEEK
(nominal) NATIVE-COUNTRY  	--> 14 (nominal) NATIVE-COUNTRY
(nominal) CLASS           	--> 15 (nominal) CLASS


Time taken to build model: 0.09 seconds

=== Evaluation on test set ===

Time taken to test model on supplied test set: 0.21 seconds

=== Summary ===

Correctly Classified Instances       11939               80.8218 %
Incorrectly Classified Instances      2833               19.1782 %
Kappa statistic                          0.2784
K&B Relative Info Score                 40.6708 %
K&B Information Score                 4774.9929 bits      0.3232 bits/instance
Class complexity | order 0           11740.5789 bits      0.7948 bits/instance
Class complexity | scheme          3042642      bits    205.9736 bits/instance
Complexity improvement     (Sf)    -3030901.4211 bits   -205.1788 bits/instance
Mean absolute error                      0.1918
Root mean squared error                  0.4379
Relative absolute error                 52.6545 %
Root relative squared error            102.5619 %
Total Number of Instances            14772     

=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 0.999    0.796    0.799      0.999    0.888      0.398    0.601     0.799     <=50K
                 0.204    0.001    0.982      0.204    0.338      0.398    0.601     0.391     >50K
Weighted Avg.    0.808    0.605    0.843      0.808    0.756      0.398    0.601     0.701     

=== Confusion Matrix ===

     a     b   <-- classified as
 11216    13 |     a = <=50K
  2820   723 |     b = >50K


