Options: -C 0.25 -M 2 

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

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

ILMN_1789338 <= 8.113774: adenocarcinoma (16.0)
ILMN_1789338 > 8.113774
|   ILMN_1684081 <= 7.019429
|   |   ILMN_2349610 <= 7.646817: adenocarcinoma (5.0)
|   |   ILMN_2349610 > 7.646817
|   |   |   ILMN_2375557 <= 7.589589: normal (31.0)
|   |   |   ILMN_2375557 > 7.589589: adenocarcinoma (5.0/1.0)
|   ILMN_1684081 > 7.019429: adenocarcinoma (8.0)

Number of Leaves  : 	5

Size of the tree : 	9


Time taken to build model: 0.87 seconds

Time taken to test model on training data: 0.36 seconds

=== Error on training data ===

Correctly Classified Instances          64               98.4615 %
Incorrectly Classified Instances         1                1.5385 %
Kappa statistic                          0.9692
Mean absolute error                      0.0246
Root mean squared error                  0.1109
Relative absolute error                  4.9242 %
Root relative squared error             22.1906 %
Total Number of Instances               65     


=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 0,969    0,000    1,000      0,969    0,984      0,970    0,998     0,997     normal
                 1,000    0,031    0,971      1,000    0,985      0,970    0,998     0,996     adenocarcinoma
Weighted Avg.    0,985    0,016    0,985      0,985    0,985      0,970    0,998     0,996     


=== Confusion Matrix ===

  a  b   <-- classified as
 31  1 |  a = normal
  0 33 |  b = adenocarcinoma

Time taken to perform cross-validation: 1.17 seconds


=== Stratified cross-validation ===

Correctly Classified Instances          32               49.2308 %
Incorrectly Classified Instances        33               50.7692 %
Kappa statistic                         -0.018 
Mean absolute error                      0.5055
Root mean squared error                  0.7056
Relative absolute error                101.0989 %
Root relative squared error            141.0891 %
Total Number of Instances               65     


=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 0,406    0,424    0,481      0,406    0,441      -0,018   0,518     0,495     normal
                 0,576    0,594    0,500      0,576    0,535      -0,018   0,518     0,529     adenocarcinoma
Weighted Avg.    0,492    0,510    0,491      0,492    0,489      -0,018   0,518     0,512     


=== Confusion Matrix ===

  a  b   <-- classified as
 13 19 |  a = normal
 14 19 |  b = adenocarcinoma