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: 0.56 seconds

Time taken to test model on training data: 0.42 seconds

=== Error on training data ===

Correctly Classified Instances          18              100      %
Incorrectly Classified Instances         0                0      %
Kappa statistic                          1     
Mean absolute error                      0.05  
Root mean squared error                  0.05  
Relative absolute error                 10.1124 %
Root relative squared error             10.0617 %
Total Number of Instances               18     


=== 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
 10  0 |  a = normal
  0  8 |  b = tumoral

Time taken to perform cross-validation: 0.52 seconds


=== Stratified cross-validation ===

Correctly Classified Instances          17               94.4444 %
Incorrectly Classified Instances         1                5.5556 %
Kappa statistic                          0.8861
Mean absolute error                      0.119 
Root mean squared error                  0.2296
Relative absolute error                 23.8095 %
Root relative squared error             45.6129 %
Total Number of Instances               18     


=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 1,000    0,125    0,909      1,000    0,952      0,892    0,938     0,909     normal
                 0,875    0,000    1,000      0,875    0,933      0,892    0,938     0,931     tumoral
Weighted Avg.    0,944    0,069    0,949      0,944    0,944      0,892    0,938     0,919     


=== Confusion Matrix ===

  a  b   <-- classified as
 10  0 |  a = normal
  1  7 |  b = tumoral