Options: -C 0.25 -M 2 

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

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

207003_at <= 11.088983
|   219039_at <= 7.876955: tumoral (45.0)
|   219039_at > 7.876955
|   |   211193_at <= 5.380577: normal (5.0)
|   |   211193_at > 5.380577: tumoral (2.0)
207003_at > 11.088983
|   203425_s_at <= 6.453319: tumoral (3.0)
|   203425_s_at > 6.453319
|   |   209867_s_at <= 6.467368: tumoral (3.0/1.0)
|   |   209867_s_at > 6.467368: normal (47.0)

Number of Leaves  : 	6

Size of the tree : 	11


Time taken to build model: 1.08 seconds

Time taken to test model on training data: 0.52 seconds

=== Error on training data ===

Correctly Classified Instances         104               99.0476 %
Incorrectly Classified Instances         1                0.9524 %
Kappa statistic                          0.981 
Mean absolute error                      0.0127
Root mean squared error                  0.0797
Relative absolute error                  2.5399 %
Root relative squared error             15.9371 %
Total Number of Instances              105     


=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 0,981    0,000    1,000      0,981    0,990      0,981    1,000     0,999     normal
                 1,000    0,019    0,981      1,000    0,990      0,981    1,000     0,999     tumoral
Weighted Avg.    0,990    0,009    0,991      0,990    0,990      0,981    1,000     0,999     


=== Confusion Matrix ===

  a  b   <-- classified as
 52  1 |  a = normal
  0 52 |  b = tumoral

Time taken to perform cross-validation: 1.7 seconds


=== Stratified cross-validation ===

Correctly Classified Instances          82               78.0952 %
Incorrectly Classified Instances        23               21.9048 %
Kappa statistic                          0.5619
Mean absolute error                      0.227 
Root mean squared error                  0.462 
Relative absolute error                 45.3848 %
Root relative squared error             92.3561 %
Total Number of Instances              105     


=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 0,774    0,212    0,788      0,774    0,781      0,562    0,780     0,727     normal
                 0,788    0,226    0,774      0,788    0,781      0,562    0,780     0,729     tumoral
Weighted Avg.    0,781    0,219    0,781      0,781    0,781      0,562    0,780     0,728     


=== Confusion Matrix ===

  a  b   <-- classified as
 41 12 |  a = normal
 11 41 |  b = tumoral