=== Run information ===

Scheme:weka.classifiers.trees.J48 -C 0.25 -M 2
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) ===

J48 pruned tree
------------------

IndCov <= 0
|   ErrorVar <= 0.1: B (27000.0/11580.0)
|   ErrorVar > 0.1
|   |   SampleSize <= 250: A (9000.0/3732.0)
|   |   SampleSize > 250
|   |   |   NumInd <= 3: A (1500.0/746.0)
|   |   |   NumInd > 3: B (3000.0/1305.0)
IndCov > 0: A (81000.0/3061.0)

Number of Leaves  : 	5

Size of the tree : 	9


Time taken to build model: 0.88 seconds

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

Correctly Classified Instances      101054               83.172  %
Incorrectly Classified Instances     20446               16.828  %
Kappa statistic                          0.5591
Mean absolute error                      0.1166
Root mean squared error                  0.2414
Relative absolute error                 60.5677 %
Root relative squared error             77.8296 %
Total Number of Instances           121500     

=== Detailed Accuracy By Class ===

               TP Rate   FP Rate   Precision   Recall  F-Measure   ROC Area  Class
                 0.911     0.251      0.919     0.911     0.915      0.89     A
                 0.707     0.134      0.569     0.707     0.631      0.851    B
                 0         0          0         0         0          0.876    LM
                 0         0          0         0         0          0.878    ML
Weighted Avg.    0.832     0.217      0.81      0.832     0.819      0.882

=== Confusion Matrix ===

     a     b     c     d   <-- classified as
 83795  8196     0     0 |     a = A
  7153 17259     0     0 |     b = B
   233  4415     0     0 |     c = LM
     7   442     0     0 |     d = ML

