Options: -C 0.25 -M 2 

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

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

201464_x_at <= 5.959223
|   208331_at <= 2.086525
|   |   217174_s_at <= 2.41039: cancer_epithelial (28.0/1.0)
|   |   217174_s_at > 2.41039: cancer_stroma (4.0)
|   208331_at > 2.086525
|   |   202899_s_at <= 3.310214: cancer_epithelial (2.0/1.0)
|   |   202899_s_at > 3.310214: cancer_stroma (23.0)
201464_x_at > 5.959223: normal (9.0)

Number of Leaves  : 	5

Size of the tree : 	9


Time taken to build model: 0.88 seconds

Time taken to test model on training data: 0.35 seconds

=== Error on training data ===

Correctly Classified Instances          64               96.9697 %
Incorrectly Classified Instances         2                3.0303 %
Kappa statistic                          0.9506
Mean absolute error                      0.0296
Root mean squared error                  0.1216
Relative absolute error                  7.1657 %
Root relative squared error             26.8134 %
Total Number of Instances               66     


=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 1,000    0,053    0,933      1,000    0,966      0,940    0,986     0,963     cancer_epithelial
                 0,964    0,000    1,000      0,964    0,982      0,969    0,987     0,982     cancer_stroma
                 0,900    0,000    1,000      0,900    0,947      0,940    0,999     0,991     normal
Weighted Avg.    0,970    0,022    0,972      0,970    0,970      0,953    0,989     0,976     


=== Confusion Matrix ===

  a  b  c   <-- classified as
 28  0  0 |  a = cancer_epithelial
  1 27  0 |  b = cancer_stroma
  1  0  9 |  c = normal

Time taken to perform cross-validation: 1.15 seconds


=== Stratified cross-validation ===

Correctly Classified Instances          43               65.1515 %
Incorrectly Classified Instances        23               34.8485 %
Kappa statistic                          0.439 
Mean absolute error                      0.2386
Root mean squared error                  0.4761
Relative absolute error                 57.6373 %
Root relative squared error            104.8221 %
Total Number of Instances               66     


=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 0,643    0,316    0,600      0,643    0,621      0,325    0,669     0,547     cancer_epithelial
                 0,571    0,237    0,640      0,571    0,604      0,341    0,671     0,554     cancer_stroma
                 0,900    0,036    0,818      0,900    0,857      0,832    0,939     0,842     normal
Weighted Avg.    0,652    0,240    0,650      0,652    0,649      0,408    0,711     0,595     


=== Confusion Matrix ===

  a  b  c   <-- classified as
 18  8  2 |  a = cancer_epithelial
 12 16  0 |  b = cancer_stroma
  0  1  9 |  c = normal