=== Run information ===

Scheme:weka.classifiers.rules.JRip -F 3 -N 2.0 -O 2 -S 1
Relation:     aggregate.prediction.formative.500reps.condition0.ForWeka-weka.filters.unsupervised.attribute.Remove-R2
Instances:    121500
Attributes:   7
              Repetition
              Condition
              SampleSize
              NumInd
              IndCov
              ErrorVar
              Outer
Test mode:10-fold cross-validation

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

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

(IndCov <= 0) and (ErrorVar <= 0) and (NumInd >= 5) and (SampleSize >= 250) and (NumInd >= 7) and (SampleSize >= 750) and (Repetition <= 255) and (Repetition >= 235) and (Repetition >= 244) => Outer=LM (36.0/17.0)
(IndCov <= 0) and (ErrorVar <= 0.1) => Outer=B (26964.0/11559.0)
(IndCov <= 0) and (SampleSize >= 250) and (SampleSize >= 750) and (NumInd >= 5) => Outer=B (3000.0/1305.0)
(IndCov <= 0) and (SampleSize >= 250) and (Repetition >= 288) and (Repetition <= 325) => Outer=B (456.0/204.0)
 => Outer=A (91044.0/7283.0)

Number of Rules : 5


Time taken to build model: 10.07 seconds

=== Stratified cross-validation ===
=== Summary ===

Correctly Classified Instances      100976               83.1078 %
Incorrectly Classified Instances     20524               16.8922 %
Kappa statistic                          0.5666
Mean absolute error                      0.1252
Root mean squared error                  0.2505
Relative absolute error                 65.0473 %
Root relative squared error             80.7538 %
Total Number of Instances           121500     

=== Detailed Accuracy By Class ===

               TP Rate   FP Rate   Precision   Recall  F-Measure   ROC Area  Class
                 0.901     0.221      0.927     0.901     0.914      0.848    A
                 0.741     0.144      0.564     0.741     0.641      0.803    B
                 0         0          0         0         0          0.875    LM
                 0         0          0         0         0          0.878    ML
Weighted Avg.    0.831     0.197      0.815     0.831     0.821      0.84 

=== Confusion Matrix ===

     a     b     c     d   <-- classified as
 82875  9114     2     0 |     a = A
  6306 18101     5     0 |     b = B
   220  4428     0     0 |     c = LM
     7   442     0     0 |     d = ML

