Options: -C 0.25 -M 2 

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

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

955_at <= 7.71474: primary_prostate_tumor (28.0/1.0)
955_at > 7.71474
|   33066_at <= 3.329454: primary_prostate_tumor (7.0)
|   33066_at > 3.329454
|   |   32160_at <= 4.805296: primary_prostate_tumor (9.0)
|   |   32160_at > 4.805296
|   |   |   38577_at <= 4.260539
|   |   |   |   32241_at <= 6.956583: normal (6.0)
|   |   |   |   32241_at > 6.956583: primary_prostate_tumor (12.0)
|   |   |   38577_at > 4.260539
|   |   |   |   38938_at <= 2.754245: normal (55.0/2.0)
|   |   |   |   38938_at > 2.754245
|   |   |   |   |   100_g_at <= 6.831663: normal (2.0)
|   |   |   |   |   100_g_at > 6.831663: primary_prostate_tumor (5.0)

Number of Leaves  : 	8

Size of the tree : 	15


Time taken to build model: 1.2 seconds

Time taken to test model on training data: 0.34 seconds

=== Error on training data ===

Correctly Classified Instances         121               97.5806 %
Incorrectly Classified Instances         3                2.4194 %
Kappa statistic                          0.9516
Mean absolute error                      0.0466
Root mean squared error                  0.1527
Relative absolute error                  9.3276 %
Root relative squared error             30.5411 %
Total Number of Instances              124     


=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 0,968    0,016    0,984      0,968    0,976      0,952    0,982     0,978     primary_prostate_tumor
                 0,984    0,032    0,968      0,984    0,976      0,952    0,982     0,968     normal
Weighted Avg.    0,976    0,024    0,976      0,976    0,976      0,952    0,982     0,973     


=== Confusion Matrix ===

  a  b   <-- classified as
 60  2 |  a = primary_prostate_tumor
  1 61 |  b = normal

Time taken to perform cross-validation: 1.47 seconds


=== Stratified cross-validation ===

Correctly Classified Instances          56               45.1613 %
Incorrectly Classified Instances        68               54.8387 %
Kappa statistic                         -0.0968
Mean absolute error                      0.5482
Root mean squared error                  0.7375
Relative absolute error                109.6182 %
Root relative squared error            147.4623 %
Total Number of Instances              124     


=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 0,500    0,597    0,456      0,500    0,477      -0,097   0,447     0,474     primary_prostate_tumor
                 0,403    0,500    0,446      0,403    0,424      -0,097   0,447     0,472     normal
Weighted Avg.    0,452    0,548    0,451      0,452    0,450      -0,097   0,447     0,473     


=== Confusion Matrix ===

  a  b   <-- classified as
 31 31 |  a = primary_prostate_tumor
 37 25 |  b = normal