=== Run information ===

Evaluator:    weka.attributeSelection.CfsSubsetEval 
Search:       weka.attributeSelection.BestFirst -D 1 -N 5
Relation:     data433wekaClustered
Instances:    426
Attributes:   17
              HS2
              AS2
              PF2
              EX3
              DO3
              US3
              UC3
              CL3
              FR3
              DT3
              RM3
              RA3
              AM3
              CX3
              DI3
              SS3
              cluster
Evaluation mode:    10-fold cross-validation



=== Attribute selection 10 fold cross-validation (stratified), seed: 1 ===

number of folds (%)  attribute
          10(100 %)    1 HS2
           0(  0 %)    2 AS2
           0(  0 %)    3 PF2
           9( 90 %)    4 EX3
           0(  0 %)    5 DO3
          10(100 %)    6 US3
           0(  0 %)    7 UC3
          10(100 %)    8 CL3
          10(100 %)    9 FR3
          10(100 %)   10 DT3
          10(100 %)   11 RM3
           0(  0 %)   12 RA3
           0(  0 %)   13 AM3
           0(  0 %)   14 CX3
           0(  0 %)   15 DI3
           0(  0 %)   16 SS3



=== Run information ===

Scheme:       weka.classifiers.trees.J48 -C 0.25 -M 2
Relation:     data433wekaClustered-weka.filters.unsupervised.attribute.Remove-R2-3,5,7,12-16
Instances:    426
Attributes:   8
              HS2
              EX3
              US3
              CL3
              FR3
              DT3
              RM3
              cluster
Test mode:    10-fold cross-validation

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

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

DT3 <= 1: cluster2 (150.0/4.0)
DT3 > 1
|   CL3 <= 4
|   |   US3 <= 2: cluster0 (170.0)
|   |   US3 > 2
|   |   |   DT3 <= 2
|   |   |   |   EX3 <= 2: cluster3 (25.0)
|   |   |   |   EX3 > 2
|   |   |   |   |   HS2 <= 3: cluster0 (14.0)
|   |   |   |   |   HS2 > 3: cluster3 (6.0)
|   |   |   DT3 > 2: cluster0 (42.0)
|   CL3 > 4: cluster1 (19.0)

Number of Leaves  : 	7

Size of the tree : 	13


Time taken to build model: 0.04 seconds

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

Correctly Classified Instances         422               99.061  %
Incorrectly Classified Instances         4                0.939  %
Kappa statistic                          0.984 
Mean absolute error                      0.0092
Root mean squared error                  0.0679
Relative absolute error                  3.1264 %
Root relative squared error             17.774  %
Total Number of Instances              426     

=== Detailed Accuracy By Class ===

TP Rate   FP Rate   Precision   Recall  F-Measure   Class
  0.983     0          1         0.983     0.991    cluster0
  1         0          1         1         1        cluster1
  1         0.014      0.973     1         0.986    cluster2
  1         0          1         1         1        cluster3

=== Confusion Matrix ===

   a   b   c   d   <-- classified as
 226   0   4   0 |   a = cluster0
   0  19   0   0 |   b = cluster1
   0   0 146   0 |   c = cluster2
   0   0   0  31 |   d = cluster3