=== Run information ===

Scheme:weka.classifiers.trees.J48 -C 0.25 -M 2
Relation:     breastcancerdb-weka.filters.unsupervised.attribute.Remove-R1
Instances:    699
Attributes:   10
              Clump_Thickness
              Uniformity_of_Cell_Size
              Uniformity_of_Cell_Shape
              Marginal_Adhesion
              Single_Epithelial_Cell_Size
              Bare_Nuclei
              Bland_Chromatin
              Normal_Nucleoli
              Mitoses
              Class
Test mode:10-fold cross-validation

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

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

Uniformity_of_Cell_Size <= 2
|   Bare_Nuclei <= 3: 2 (405.39/2.0)
|   Bare_Nuclei > 3
|   |   Clump_Thickness <= 3: 2 (11.55)
|   |   Clump_Thickness > 3
|   |   |   Bland_Chromatin <= 2
|   |   |   |   Marginal_Adhesion <= 3: 4 (2.0)
|   |   |   |   Marginal_Adhesion > 3: 2 (2.0)
|   |   |   Bland_Chromatin > 2: 4 (8.06/0.06)
Uniformity_of_Cell_Size > 2
|   Uniformity_of_Cell_Shape <= 2
|   |   Clump_Thickness <= 5: 2 (19.0/1.0)
|   |   Clump_Thickness > 5: 4 (4.0)
|   Uniformity_of_Cell_Shape > 2
|   |   Uniformity_of_Cell_Size <= 4
|   |   |   Bare_Nuclei <= 2
|   |   |   |   Marginal_Adhesion <= 3: 2 (11.41/1.21)
|   |   |   |   Marginal_Adhesion > 3: 4 (3.0)
|   |   |   Bare_Nuclei > 2
|   |   |   |   Clump_Thickness <= 6
|   |   |   |   |   Uniformity_of_Cell_Size <= 3: 4 (13.0/2.0)
|   |   |   |   |   Uniformity_of_Cell_Size > 3
|   |   |   |   |   |   Marginal_Adhesion <= 5: 2 (5.79/1.0)
|   |   |   |   |   |   Marginal_Adhesion > 5: 4 (5.0)
|   |   |   |   Clump_Thickness > 6: 4 (31.79/1.0)
|   |   Uniformity_of_Cell_Size > 4: 4 (177.0/5.0)

Number of Leaves  : 	14

Size of the tree : 	27


Time taken to build model: 0 seconds

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

Correctly Classified Instances         661               94.5637 %
Incorrectly Classified Instances        38                5.4363 %
Kappa statistic                          0.8799
Mean absolute error                      0.0694
Root mean squared error                  0.2229
Relative absolute error                 15.352  %
Root relative squared error             46.8927 %
Total Number of Instances              699     

=== Detailed Accuracy By Class ===

               TP Rate   FP Rate   Precision   Recall  F-Measure   ROC Area  Class
                 0.956     0.075      0.961     0.956     0.958      0.955    2
                 0.925     0.044      0.918     0.925     0.921      0.955    4
Weighted Avg.    0.946     0.064      0.946     0.946     0.946      0.955

=== Confusion Matrix ===

   a   b   <-- classified as
 438  20 |   a = 2
  18 223 |   b = 4


