Options: -C 0.25 -M 2 

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

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

54020_at <= 6.294822: primary_prostate_tumor (23.0)
54020_at > 6.294822
|   43312_at <= 3.199073
|   |   49425_at <= 4.677498
|   |   |   53664_at <= 2.991118
|   |   |   |   54187_at <= 1.661251: primary_prostate_tumor (5.0)
|   |   |   |   54187_at > 1.661251
|   |   |   |   |   42617_r_at <= 2.956373: primary_prostate_tumor (4.0)
|   |   |   |   |   42617_r_at > 2.956373
|   |   |   |   |   |   53987_at <= 5.235064: normal (55.0/1.0)
|   |   |   |   |   |   53987_at > 5.235064
|   |   |   |   |   |   |   43768_at <= 4.240808: primary_prostate_tumor (6.0)
|   |   |   |   |   |   |   43768_at > 4.240808: normal (6.0)
|   |   |   53664_at > 2.991118: primary_prostate_tumor (6.0)
|   |   49425_at > 4.677498: primary_prostate_tumor (8.0)
|   43312_at > 3.199073: primary_prostate_tumor (11.0)

Number of Leaves  : 	9

Size of the tree : 	17


Time taken to build model: 1.17 seconds

Time taken to test model on training data: 0.34 seconds

=== Error on training data ===

Correctly Classified Instances         123               99.1935 %
Incorrectly Classified Instances         1                0.8065 %
Kappa statistic                          0.9839
Mean absolute error                      0.0158
Root mean squared error                  0.089 
Relative absolute error                  3.1704 %
Root relative squared error             17.8058 %
Total Number of Instances              124     


=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 0,984    0,000    1,000      0,984    0,992      0,984    0,993     0,993     primary_prostate_tumor
                 1,000    0,016    0,984      1,000    0,992      0,984    0,993     0,985     normal
Weighted Avg.    0,992    0,008    0,992      0,992    0,992      0,984    0,993     0,989     


=== Confusion Matrix ===

  a  b   <-- classified as
 63  1 |  a = primary_prostate_tumor
  0 60 |  b = normal

Time taken to perform cross-validation: 1.46 seconds


=== Stratified cross-validation ===

Correctly Classified Instances          75               60.4839 %
Incorrectly Classified Instances        49               39.5161 %
Kappa statistic                          0.2043
Mean absolute error                      0.3909
Root mean squared error                  0.6198
Relative absolute error                 78.2466 %
Root relative squared error            124.0219 %
Total Number of Instances              124     


=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 0,703    0,500    0,600      0,703    0,647      0,208    0,615     0,589     primary_prostate_tumor
                 0,500    0,297    0,612      0,500    0,550      0,208    0,615     0,555     normal
Weighted Avg.    0,605    0,402    0,606      0,605    0,601      0,208    0,615     0,572     


=== Confusion Matrix ===

  a  b   <-- classified as
 45 19 |  a = primary_prostate_tumor
 30 30 |  b = normal