Options: -P 100 -I 100 -num-slots 1 -K 0 -M 1.0 -V 0.001 -S 1 

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

RandomForest

Bagging with 100 iterations and base learner

weka.classifiers.trees.RandomTree -K 0 -M 1.0 -V 0.001 -S 1 -do-not-check-capabilities

Time taken to build model: 3.91 seconds

Time taken to test model on training data: 2.44 seconds

=== Error on training data ===

Correctly Classified Instances         289              100      %
Incorrectly Classified Instances         0                0      %
Kappa statistic                          1     
Mean absolute error                      0.0931
Root mean squared error                  0.1196
Relative absolute error                 18.6318 %
Root relative squared error             23.9198 %
Total Number of Instances              289     


=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 1,000    0,000    1,000      1,000    1,000      1,000    1,000     1,000     normal
                 1,000    0,000    1,000      1,000    1,000      1,000    1,000     1,000     breast_adenocarcinoma
Weighted Avg.    1,000    0,000    1,000      1,000    1,000      1,000    1,000     1,000     


=== Confusion Matrix ===

   a   b   <-- classified as
 146   0 |   a = normal
   0 143 |   b = breast_adenocarcinoma

Time taken to perform cross-validation: 12.57 seconds


=== Stratified cross-validation ===

Correctly Classified Instances         249               86.1592 %
Incorrectly Classified Instances        40               13.8408 %
Kappa statistic                          0.7228
Mean absolute error                      0.2703
Root mean squared error                  0.3358
Relative absolute error                 54.0592 %
Root relative squared error             67.158  %
Total Number of Instances              289     


=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 0,918    0,196    0,827      0,918    0,870      0,727    0,925     0,907     normal
                 0,804    0,082    0,906      0,804    0,852      0,727    0,925     0,937     breast_adenocarcinoma
Weighted Avg.    0,862    0,140    0,866      0,862    0,861      0,727    0,925     0,922     


=== Confusion Matrix ===

   a   b   <-- classified as
 134  12 |   a = normal
  28 115 |   b = breast_adenocarcinoma