Options: -C 0.25 -M 2 

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

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

212150_at <= 3.419746: normal_urothelia (13.0)
212150_at > 3.419746
|   220399_at <= 2.924458: normal_urothelia (9.0)
|   220399_at > 2.924458
|   |   223467_at <= 5.486876: normal_urothelia (8.0)
|   |   223467_at > 5.486876
|   |   |   217126_at <= 2.819877
|   |   |   |   1053_at <= 2.761645: normal_urothelia (3.0)
|   |   |   |   1053_at > 2.761645: tumoral_urothelia (49.0/1.0)
|   |   |   217126_at > 2.819877: normal_urothelia (3.0)

Number of Leaves  : 	6

Size of the tree : 	11


Time taken to build model: 2.46 seconds

Time taken to test model on training data: 1.01 seconds

=== Error on training data ===

Correctly Classified Instances          84               98.8235 %
Incorrectly Classified Instances         1                1.1765 %
Kappa statistic                          0.976 
Mean absolute error                      0.023 
Root mean squared error                  0.1074
Relative absolute error                  4.6865 %
Root relative squared error             21.6525 %
Total Number of Instances               85     


=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 1,000    0,027    0,980      1,000    0,990      0,976    0,986     0,980     tumoral_urothelia
                 0,973    0,000    1,000      0,973    0,986      0,976    0,986     0,985     normal_urothelia
Weighted Avg.    0,988    0,015    0,988      0,988    0,988      0,976    0,986     0,982     


=== Confusion Matrix ===

  a  b   <-- classified as
 48  0 |  a = tumoral_urothelia
  1 36 |  b = normal_urothelia

Time taken to perform cross-validation: 3.81 seconds


=== Stratified cross-validation ===

Correctly Classified Instances          46               54.1176 %
Incorrectly Classified Instances        39               45.8824 %
Kappa statistic                          0.081 
Mean absolute error                      0.463 
Root mean squared error                  0.6704
Relative absolute error                 94.1007 %
Root relative squared error            135.1796 %
Total Number of Instances               85     


=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 0,542    0,459    0,605      0,542    0,571      0,082    0,532     0,591     tumoral_urothelia
                 0,541    0,458    0,476      0,541    0,506      0,082    0,532     0,448     normal_urothelia
Weighted Avg.    0,541    0,459    0,549      0,541    0,543      0,082    0,532     0,529     


=== Confusion Matrix ===

  a  b   <-- classified as
 26 22 |  a = tumoral_urothelia
 17 20 |  b = normal_urothelia