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: 1.97 seconds

Time taken to test model on training data: 7.64 seconds

=== Error on training data ===

Correctly Classified Instances         116              100      %
Incorrectly Classified Instances         0                0      %
Kappa statistic                          1     
Mean absolute error                      0.0085
Root mean squared error                  0.0085
Relative absolute error                  3.6872 %
Root relative squared error              2.5252 %
Total Number of Instances              116     


=== 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
  15   0 |   a = normal
   0 101 |   b = tumoral

Time taken to perform cross-validation: 10.07 seconds


=== Stratified cross-validation ===

Correctly Classified Instances         114               98.2759 %
Incorrectly Classified Instances         2                1.7241 %
Kappa statistic                          0.9234
Mean absolute error                      0.0294
Root mean squared error                  0.1303
Relative absolute error                 12.6719 %
Root relative squared error             38.8037 %
Total Number of Instances              116     


=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 0,933    0,010    0,933      0,933    0,933      0,923    0,941     0,898     normal
                 0,990    0,067    0,990      0,990    0,990      0,923    0,941     0,983     tumoral
Weighted Avg.    0,983    0,059    0,983      0,983    0,983      0,923    0,941     0,972     


=== Confusion Matrix ===

   a   b   <-- classified as
  14   1 |   a = normal
   1 100 |   b = tumoral