Options: -C 0.25 -M 2 

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

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

ILMN_1849124 <= 7.064399
|   ILMN_1700028 <= 9.671714: tumoral_early (7.0)
|   ILMN_1700028 > 9.671714
|   |   ILMN_1798037 <= 6.508559: tumoral_late (17.0)
|   |   ILMN_1798037 > 6.508559: tumoral_early (2.0)
ILMN_1849124 > 7.064399
|   ILMN_1680754 <= 7.118357: normal (9.0)
|   ILMN_1680754 > 7.118357: tumoral_early (3.0)

Number of Leaves  : 	5

Size of the tree : 	9


Time taken to build model: 0.76 seconds

Time taken to test model on training data: 0.35 seconds

=== Error on training data ===

Correctly Classified Instances          38              100      %
Incorrectly Classified Instances         0                0      %
Kappa statistic                          1     
Mean absolute error                      0     
Root mean squared error                  0     
Relative absolute error                  0      %
Root relative squared error              0      %
Total Number of Instances               38     


=== 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     tumoral_early
                 1,000    0,000    1,000      1,000    1,000      1,000    1,000     1,000     tumoral_late
                 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   <-- classified as
 12  0  0 |  a = tumoral_early
  0 17  0 |  b = tumoral_late
  0  0  9 |  c = normal

Time taken to perform cross-validation: 1.04 seconds


=== Stratified cross-validation ===

Correctly Classified Instances          17               44.7368 %
Incorrectly Classified Instances        21               55.2632 %
Kappa statistic                          0.0993
Mean absolute error                      0.3784
Root mean squared error                  0.5958
Relative absolute error                 87.7606 %
Root relative squared error            128.49   %
Total Number of Instances               38     


=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 0,167    0,231    0,250      0,167    0,200      -0,073   0,452     0,297     tumoral_early
                 0,706    0,571    0,500      0,706    0,585      0,139    0,536     0,456     tumoral_late
                 0,333    0,103    0,500      0,333    0,400      0,268    0,550     0,324     normal
Weighted Avg.    0,447    0,353    0,421      0,447    0,420      0,102    0,513     0,374     


=== Confusion Matrix ===

  a  b  c   <-- classified as
  2  9  1 |  a = tumoral_early
  3 12  2 |  b = tumoral_late
  3  3  3 |  c = normal