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: 0.8 seconds

Time taken to test model on training data: 1.55 seconds

=== Error on training data ===

Correctly Classified Instances         105              100      %
Incorrectly Classified Instances         0                0      %
Kappa statistic                          1     
Mean absolute error                      0.0093
Root mean squared error                  0.0093
Relative absolute error                  1.8693 %
Root relative squared error              1.8692 %
Total Number of Instances              105     


=== 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
 53  0 |  a = normal
  0 52 |  b = tumoral

Time taken to perform cross-validation: 1.76 seconds


=== Stratified cross-validation ===

Correctly Classified Instances          72               68.5714 %
Incorrectly Classified Instances        33               31.4286 %
Kappa statistic                          0.3706
Mean absolute error                      0.3194
Root mean squared error                  0.5529
Relative absolute error                 63.872  %
Root relative squared error            110.5456 %
Total Number of Instances              105     


=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 0,755    0,385    0,667      0,755    0,708      0,374    0,685     0,627     normal
                 0,615    0,245    0,711      0,615    0,660      0,374    0,685     0,628     tumoral
Weighted Avg.    0,686    0,316    0,689      0,686    0,684      0,374    0,685     0,628     


=== Confusion Matrix ===

  a  b   <-- classified as
 40 13 |  a = normal
 20 32 |  b = tumoral