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: 0.66 seconds

Time taken to test model on training data: 0.59 seconds

=== Error on training data ===

Correctly Classified Instances          24              100      %
Incorrectly Classified Instances         0                0      %
Kappa statistic                          1     
Mean absolute error                      0.0385
Root mean squared error                  0.0385
Relative absolute error                  7.6923 %
Root relative squared error              7.6923 %
Total Number of Instances               24     


=== 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
 12  0 |  a = normal
  0 12 |  b = tumoral

Time taken to perform cross-validation: 0.73 seconds


=== Stratified cross-validation ===

Correctly Classified Instances          16               66.6667 %
Incorrectly Classified Instances         8               33.3333 %
Kappa statistic                          0.3333
Mean absolute error                      0.3519
Root mean squared error                  0.5472
Relative absolute error                 70.3704 %
Root relative squared error            109.4318 %
Total Number of Instances               24     


=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 0,583    0,250    0,700      0,583    0,636      0,338    0,667     0,617     normal
                 0,750    0,417    0,643      0,750    0,692      0,338    0,667     0,607     tumoral
Weighted Avg.    0,667    0,333    0,671      0,667    0,664      0,338    0,667     0,612     


=== Confusion Matrix ===

 a b   <-- classified as
 7 5 | a = normal
 3 9 | b = tumoral