Options: -K 1 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A "weka.core.EuclideanDistance -R first-last"" 

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

IB1 instance-based classifier
using 1 nearest neighbour(s) for classification


Time taken to build model: 1.06 seconds

Time taken to test model on training data: 1.09 seconds

=== Error on training data ===

Correctly Classified Instances          38              100      %
Incorrectly Classified Instances         0                0      %
Kappa statistic                          1     
Mean absolute error                      0.0325
Root mean squared error                  0.0345
Relative absolute error                  7.5547 %
Root relative squared error              7.4438 %
Total Number of Instances               38     


=== 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     tumoral_early
                 1,000    0,000    1,000      1,000    1,000      1,000    1,000     1,000     tumoral_late
                 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  c   <-- classified as
 12  0  0 |  a = tumoral_early
  0 17  0 |  b = tumoral_late
  0  0  9 |  c = normal

Time taken to perform cross-validation: 1.05 seconds


=== Stratified cross-validation ===

Correctly Classified Instances          16               42.1053 %
Incorrectly Classified Instances        22               57.8947 %
Kappa statistic                          0.0823
Mean absolute error                      0.3922
Root mean squared error                  0.5896
Relative absolute error                 90.961  %
Root relative squared error            127.1542 %
Total Number of Instances               38     


=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 0,333    0,346    0,308      0,333    0,320      -0,013   0,490     0,313     tumoral_early
                 0,529    0,476    0,474      0,529    0,500      0,053    0,497     0,442     tumoral_late
                 0,333    0,103    0,500      0,333    0,400      0,268    0,552     0,320     normal
Weighted Avg.    0,421    0,347    0,427      0,421    0,419      0,083    0,508     0,372     


=== Confusion Matrix ===

 a b c   <-- classified as
 4 6 2 | a = tumoral_early
 7 9 1 | b = tumoral_late
 2 4 3 | c = normal