=== Run information ===

Scheme:       weka.classifiers.trees.J48 -C 0.25 -M 2
Relation:     data433wekaClustered
Instances:    426
Attributes:   17
              HS2
              AS2
              PF2
              EX3
              DO3
              US3
              UC3
              CL3
              FR3
              DT3
              RM3
              RA3
              AM3
              CX3
              DI3
              SS3
              cluster
Test mode:    10-fold cross-validation

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

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

DT3 <= 1
|   RM3 <= 2
|   |   DO3 <= 2: cluster0 (3.0)
|   |   DO3 > 2: cluster2 (11.0)
|   RM3 > 2: cluster2 (136.0/1.0)
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  : 	9

Size of the tree : 	17


Time taken to build model: 0.42 seconds

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

Correctly Classified Instances         424               99.5305 %
Incorrectly Classified Instances         2                0.4695 %
Kappa statistic                          0.992 
Mean absolute error                      0.0035
Root mean squared error                  0.0485
Relative absolute error                  1.2014 %
Root relative squared error             12.7077 %
Total Number of Instances              426     

=== Detailed Accuracy By Class ===:w

TP Rate   FP Rate   Precision   Recall  F-Measure   Class
  0.991     0          1         0.991     0.996    cluster0
  1         0          1         1         1        cluster1
  1         0.004      0.993     1         0.997    cluster2
  1         0.003      0.969     1         0.984    cluster3

=== Confusion Matrix ===

   a   b   c   d   <-- classified as
 228   0   1   1 |   a = cluster0
   0  19   0   0 |   b = cluster1
   0   0 146   0 |   c = cluster2
   0   0   0  31 |   d = cluster3