Options: -C 0.25 -M 2 

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

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

NR_002775 <= 16.179415: normal (12.0)
NR_002775 > 16.179415
|   NM_002609 <= 7.159967
|   |   AK024956 <= 6.850449: adenocarcinoma (5.0)
|   |   AK024956 > 6.850449
|   |   |   NM_030755 <= 13.229357: high_grade_dysplasia (23.0)
|   |   |   NM_030755 > 13.229357
|   |   |   |   NM_207350 <= 9.42535: low_grade_dysplasia (22.0/1.0)
|   |   |   |   NM_207350 > 9.42535: high_grade_dysplasia (5.0/1.0)
|   NM_002609 > 7.159967: adenocarcinoma (19.0)

Number of Leaves  : 	6

Size of the tree : 	11


Time taken to build model: 1.75 seconds

Time taken to test model on training data: 0.72 seconds

=== Error on training data ===

Correctly Classified Instances          84               97.6744 %
Incorrectly Classified Instances         2                2.3256 %
Kappa statistic                          0.9682
Mean absolute error                      0.0204
Root mean squared error                  0.101 
Relative absolute error                  5.5798 %
Root relative squared error             23.6351 %
Total Number of Instances               86     


=== 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     normal
                 0,964    0,017    0,964      0,964    0,964      0,947    0,992     0,979     high_grade_dysplasia
                 1,000    0,015    0,955      1,000    0,977      0,969    0,992     0,955     low_grade_dysplasia
                 0,960    0,000    1,000      0,960    0,980      0,972    0,999     0,994     adenocarcinoma
Weighted Avg.    0,977    0,009    0,977      0,977    0,977      0,967    0,995     0,981     


=== Confusion Matrix ===

  a  b  c  d   <-- classified as
 12  0  0  0 |  a = normal
  0 27  1  0 |  b = high_grade_dysplasia
  0  0 21  0 |  c = low_grade_dysplasia
  0  1  0 24 |  d = adenocarcinoma

Time taken to perform cross-validation: 2.87 seconds


=== Stratified cross-validation ===

Correctly Classified Instances          55               63.9535 %
Incorrectly Classified Instances        31               36.0465 %
Kappa statistic                          0.5046
Mean absolute error                      0.1813
Root mean squared error                  0.4167
Relative absolute error                 49.544  %
Root relative squared error             97.4818 %
Total Number of Instances               86     


=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 0,917    0,000    1,000      0,917    0,957      0,951    0,958     0,928     normal
                 0,500    0,172    0,583      0,500    0,538      0,342    0,717     0,500     high_grade_dysplasia
                 0,524    0,077    0,688      0,524    0,595      0,493    0,730     0,519     low_grade_dysplasia
                 0,760    0,262    0,543      0,760    0,633      0,460    0,763     0,512     adenocarcinoma
Weighted Avg.    0,640    0,151    0,655      0,640    0,638      0,498    0,767     0,568     


=== Confusion Matrix ===

  a  b  c  d   <-- classified as
 11  1  0  0 |  a = normal
  0 14  3 11 |  b = high_grade_dysplasia
  0  5 11  5 |  c = low_grade_dysplasia
  0  4  2 19 |  d = adenocarcinoma