=== Run information ===

Scheme:       weka.classifiers.trees.J48 -C 0.25 -M 2
Relation:     final-weka.filters.unsupervised.instance.SubsetByExpression-Enot ismissing(ATT13)-weka.filters.unsupervised.instance.SubsetByExpression-EATT10 is '0.0' or ATT10 is '1.0'-weka.filters.unsupervised.instance.SubsetByExpression-Enot (ATT11 is 'Q')-weka.filters.unsupervised.instance.SubsetByExpression-Enot (ATT1=0.1)-weka.filters.unsupervised.attribute.NumericToNominal-R2-last-weka.filters.unsupervised.attribute.NumericToNominal-Rfirst-weka.filters.unsupervised.attribute.MergeTwoValues-Cfirst-F5-S6-weka.filters.unsupervised.attribute.MergeTwoValues-Cfirst-F5-S6-weka.filters.unsupervised.attribute.MergeTwoValues-Cfirst-F5-S6-weka.filters.unsupervised.attribute.MergeTwoValues-Cfirst-F5-S6
Instances:    859
Attributes:   16
              Rating
              Survey
              Prize
              Punishment
              Aspen
              Snowmass
              Breckenridge
              Keystone
              ABasin
              Loveland
              CrestedButte
              Vail
              Silverton
              WinterPark
              Mary Jane
              Eldora
Test mode:    evaluate on training data

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

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

Survey = 1: 50 (43.0)
Survey = 20: 30 (816.0)

Number of Leaves  : 	2

Size of the tree : 	3


Time taken to build model: 0 seconds

=== Evaluation on training set ===
=== Summary ===

Correctly Classified Instances         859              100      %
Incorrectly Classified Instances         0                0      %
Kappa statistic                          1     
Mean absolute error                      0     
Root mean squared error                  0     
Relative absolute error                  0      %
Root relative squared error              0      %
Total Number of Instances              859     

=== Detailed Accuracy By Class ===

               TP Rate   FP Rate   Precision   Recall  F-Measure   ROC Area  Class
                 1         0          1         1         1          1        30
                 1         0          1         1         1          1        50
Weighted Avg.    1         0          1         1         1          1    

=== Confusion Matrix ===

   a   b   <-- classified as
 816   0 |   a = 30
   0  43 |   b = 50