Options: -C 0.25 -M 2 

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

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

564_at <= 6.596649
|   202793_at <= 4.70109: metastasis (11.0)
|   202793_at > 4.70109
|   |   203685_at <= 4.564201: carcinoma (18.0/1.0)
|   |   203685_at > 4.564201: adenoma (15.0)
564_at > 6.596649: normal (11.0)

Number of Leaves  : 	4

Size of the tree : 	7


Time taken to build model: 0.65 seconds

Time taken to test model on training data: 0.29 seconds

=== Error on training data ===

Correctly Classified Instances          54               98.1818 %
Incorrectly Classified Instances         1                1.8182 %
Kappa statistic                          0.9754
Mean absolute error                      0.0172
Root mean squared error                  0.0927
Relative absolute error                  4.6377 %
Root relative squared error             21.5447 %
Total Number of Instances               55     


=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 0,938    0,000    1,000      0,938    0,968      0,956    0,986     0,968     adenoma
                 1,000    0,026    0,944      1,000    0,971      0,959    0,987     0,944     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.    0,982    0,008    0,983      0,982    0,982      0,975    0,992     0,973     


=== Confusion Matrix ===

  a  b  c  d   <-- classified as
 15  1  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: 0.93 seconds


=== Stratified cross-validation ===

Correctly Classified Instances          33               60      %
Incorrectly Classified Instances        22               40      %
Kappa statistic                          0.45  
Mean absolute error                      0.2   
Root mean squared error                  0.4472
Relative absolute error                 53.9127 %
Root relative squared error            103.7956 %
Total Number of Instances               55     


=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 0,688    0,231    0,550      0,688    0,611      0,431    0,728     0,469     adenoma
                 0,706    0,211    0,600      0,706    0,649      0,476    0,748     0,514     carcinoma
                 0,545    0,068    0,667      0,545    0,600      0,516    0,739     0,455     metastasis
                 0,364    0,045    0,667      0,364    0,471      0,408    0,659     0,370     normal
Weighted Avg.    0,600    0,155    0,612      0,600    0,592      0,457    0,723     0,460     


=== Confusion Matrix ===

  a  b  c  d   <-- classified as
 11  3  0  2 |  a = adenoma
  2 12  3  0 |  b = carcinoma
  0  5  6  0 |  c = metastasis
  7  0  0  4 |  d = normal