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: 1.97 seconds

Time taken to test model on training data: 0.33 seconds

=== Error on training data ===

Correctly Classified Instances          55              100      %
Incorrectly Classified Instances         0                0      %
Kappa statistic                          1     
Mean absolute error                      0.0913
Root mean squared error                  0.1165
Relative absolute error                 24.6509 %
Root relative squared error             27.092  %
Total Number of Instances               55     


=== 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     adenoma
                 1,000    0,000    1,000      1,000    1,000      1,000    1,000     1,000     carcinoma
                 1,000    0,000    1,000      1,000    1,000      1,000    1,000     1,000     metastasis
                 1,000    0,000    1,000      1,000    1,000      1,000    1,000     1,000     normal
Weighted Avg.    1,000    0,000    1,000      1,000    1,000      1,000    1,000     1,000     


=== Confusion Matrix ===

  a  b  c  d   <-- classified as
 16  0  0  0 |  a = adenoma
  0 17  0  0 |  b = carcinoma
  0  0 11  0 |  c = metastasis
  0  0  0 11 |  d = normal

Time taken to perform cross-validation: 5.14 seconds


=== Stratified cross-validation ===

Correctly Classified Instances          48               87.2727 %
Incorrectly Classified Instances         7               12.7273 %
Kappa statistic                          0.828 
Mean absolute error                      0.2696
Root mean squared error                  0.3292
Relative absolute error                 72.6841 %
Root relative squared error             76.4098 %
Total Number of Instances               55     


=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 0,813    0,077    0,813      0,813    0,813      0,736    0,965     0,875     adenoma
                 0,882    0,053    0,882      0,882    0,882      0,830    0,930     0,896     carcinoma
                 0,818    0,000    1,000      0,818    0,900      0,885    0,988     0,950     metastasis
                 1,000    0,045    0,846      1,000    0,917      0,899    0,986     0,928     normal
Weighted Avg.    0,873    0,048    0,878      0,873    0,872      0,827    0,963     0,907     


=== Confusion Matrix ===

  a  b  c  d   <-- classified as
 13  2  0  1 |  a = adenoma
  2 15  0  0 |  b = carcinoma
  1  0  9  1 |  c = metastasis
  0  0  0 11 |  d = normal