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: 0.83 seconds

Time taken to test model on training data: 1.02 seconds

=== Error on training data ===

Correctly Classified Instances          33              100      %
Incorrectly Classified Instances         0                0      %
Kappa statistic                          1     
Mean absolute error                      0.0286
Root mean squared error                  0.0286
Relative absolute error                  5.7192 %
Root relative squared error              5.7169 %
Total Number of Instances               33     


=== 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
                 1,000    0,000    1,000      1,000    1,000      1,000    1,000     1,000     tumoral
Weighted Avg.    1,000    0,000    1,000      1,000    1,000      1,000    1,000     1,000     


=== Confusion Matrix ===

  a  b   <-- classified as
 17  0 |  a = normal
  0 16 |  b = tumoral

Time taken to perform cross-validation: 1.05 seconds


=== Stratified cross-validation ===

Correctly Classified Instances          33              100      %
Incorrectly Classified Instances         0                0      %
Kappa statistic                          1     
Mean absolute error                      0.0417
Root mean squared error                  0.0417
Relative absolute error                  8.3123 %
Root relative squared error              8.3028 %
Total Number of Instances               33     


=== 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
                 1,000    0,000    1,000      1,000    1,000      1,000    1,000     1,000     tumoral
Weighted Avg.    1,000    0,000    1,000      1,000    1,000      1,000    1,000     1,000     


=== Confusion Matrix ===

  a  b   <-- classified as
 17  0 |  a = normal
  0 16 |  b = tumoral