Options: -C 0.25 -M 2 

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

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

63761_at <= 4.586785
|   53143_at <= 2.81669: primary_prostate_tumor (13.0)
|   53143_at > 2.81669
|   |   62778_at <= 4.969468: primary_prostate_tumor (7.0)
|   |   62778_at > 4.969468
|   |   |   61301_f_at <= 5.55896: primary_prostate_tumor (5.0)
|   |   |   61301_f_at > 5.55896
|   |   |   |   64440_at <= 6.550097
|   |   |   |   |   49979_at <= 3.048143: primary_prostate_tumor (4.0)
|   |   |   |   |   49979_at > 3.048143
|   |   |   |   |   |   51306_i_at <= 1.78581
|   |   |   |   |   |   |   48899_at <= 5.698698: normal (5.0)
|   |   |   |   |   |   |   48899_at > 5.698698: primary_prostate_tumor (5.0)
|   |   |   |   |   |   51306_i_at > 1.78581: normal (51.0)
|   |   |   |   64440_at > 6.550097: primary_prostate_tumor (5.0)
63761_at > 4.586785: primary_prostate_tumor (20.0)

Number of Leaves  : 	9

Size of the tree : 	17


Time taken to build model: 1.14 seconds

Time taken to test model on training data: 0.34 seconds

=== Error on training data ===

Correctly Classified Instances         115              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              115     


=== 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     primary_prostate_tumor
                 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   <-- classified as
 59  0 |  a = primary_prostate_tumor
  0 56 |  b = normal

Time taken to perform cross-validation: 1.41 seconds


=== Stratified cross-validation ===

Correctly Classified Instances          75               65.2174 %
Incorrectly Classified Instances        40               34.7826 %
Kappa statistic                          0.3032
Mean absolute error                      0.3501
Root mean squared error                  0.5886
Relative absolute error                 70.0499 %
Root relative squared error            117.7327 %
Total Number of Instances              115     


=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 0,678    0,375    0,656      0,678    0,667      0,303    0,638     0,594     primary_prostate_tumor
                 0,625    0,322    0,648      0,625    0,636      0,303    0,638     0,591     normal
Weighted Avg.    0,652    0,349    0,652      0,652    0,652      0,303    0,638     0,593     


=== Confusion Matrix ===

  a  b   <-- classified as
 40 19 |  a = primary_prostate_tumor
 21 35 |  b = normal