=== Run information ===

Scheme:       weka.classifiers.lazy.IBk -K 5 -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 5 nearest neighbour(s) for classification


Time taken to build model: 0.01 seconds

=== Evaluation on training set ===

Time taken to test model on training data: 73.11 seconds

=== Summary ===

Correctly Classified Instances       29883               87.7106 %
Incorrectly Classified Instances      4187               12.2894 %
Kappa statistic                          0.6476
K&B Relative Info Score                 51.2741 %
K&B Information Score                13860.5867 bits      0.4068 bits/instance
Class complexity | order 0           27032.3521 bits      0.7934 bits/instance
Class complexity | scheme            12130.7186 bits      0.3561 bits/instance
Complexity improvement     (Sf)      14901.6335 bits      0.4374 bits/instance
Mean absolute error                      0.1677
Root mean squared error                  0.289 
Relative absolute error                 46.0931 %
Root relative squared error             67.7684 %
Total Number of Instances            34070     

=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 0.938    0.317    0.904      0.938    0.921      0.650    0.938     0.974     <=50K
                 0.683    0.062    0.776      0.683    0.726      0.650    0.938     0.791     >50K
Weighted Avg.    0.877    0.256    0.873      0.877    0.874      0.650    0.938     0.930     

=== Confusion Matrix ===

     a     b   <-- classified as
 24324  1602 |     a = <=50K
  2585  5559 |     b = >50K


