=== 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: 0.15 (43.0)
Survey = 20
|   Prize = 1: 0.575 (43.0)
|   Prize = 10
|   |   ABasin = 0
|   |   |   Aspen = 0: 0.9_0.925_0.94_0.95_1 (43.0)
|   |   |   Aspen = 1: 0.85 (43.0)
|   |   ABasin = 1
|   |   |   Vail = 0
|   |   |   |   WinterPark = 0: 0.6 (43.0)
|   |   |   |   WinterPark = 1: 0.9_0.925_0.94_0.95_1 (128.0)
|   |   |   Vail = 1: 0.9_0.925_0.94_0.95_1 (516.0)

Number of Leaves  : 	7

Size of the tree : 	13


Time taken to build model: 0.05 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        0.15
                 1         0          1         1         1          1        0.575
                 1         0          1         1         1          1        0.6
                 1         0          1         1         1          1        0.85
                 1         0          1         1         1          1        0.9_0.925_0.94_0.95_1
Weighted Avg.    1         0          1         1         1          1    

=== Confusion Matrix ===

   a   b   c   d   e   <-- classified as
  43   0   0   0   0 |   a = 0.15
   0  43   0   0   0 |   b = 0.575
   0   0  43   0   0 |   c = 0.6
   0   0   0  43   0 |   d = 0.85
   0   0   0   0 687 |   e = 0.9_0.925_0.94_0.95_1