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: 1.88 seconds

Time taken to test model on training data: 5.66 seconds

=== Error on training data ===

Correctly Classified Instances         114              100      %
Incorrectly Classified Instances         0                0      %
Kappa statistic                          1     
Mean absolute error                      0.0086
Root mean squared error                  0.0086
Relative absolute error                  1.7247 %
Root relative squared error              1.7244 %
Total Number of Instances              114     


=== 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
                 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   <-- classified as
 56  0 |  a = tumoral
  0 58 |  b = normal

Time taken to perform cross-validation: 6.5 seconds


=== Stratified cross-validation ===

Correctly Classified Instances          90               78.9474 %
Incorrectly Classified Instances        24               21.0526 %
Kappa statistic                          0.5773
Mean absolute error                      0.2179
Root mean squared error                  0.4531
Relative absolute error                 43.5897 %
Root relative squared error             90.5986 %
Total Number of Instances              114     


=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 0,679    0,103    0,864      0,679    0,760      0,591    0,788     0,744     tumoral
                 0,897    0,321    0,743      0,897    0,813      0,591    0,788     0,719     normal
Weighted Avg.    0,789    0,214    0,802      0,789    0,787      0,591    0,788     0,731     


=== Confusion Matrix ===

  a  b   <-- classified as
 38 18 |  a = tumoral
  6 52 |  b = normal