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: 1.56 seconds

Time taken to test model on training data: 3.38 seconds

=== Error on training data ===

Correctly Classified Instances          85              100      %
Incorrectly Classified Instances         0                0      %
Kappa statistic                          1     
Mean absolute error                      0.0115
Root mean squared error                  0.0115
Relative absolute error                  2.3371 %
Root relative squared error              2.3183 %
Total Number of Instances               85     


=== 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_urothelia
                 1,000    0,000    1,000      1,000    1,000      1,000    1,000     1,000     normal_urothelia
Weighted Avg.    1,000    0,000    1,000      1,000    1,000      1,000    1,000     1,000     


=== Confusion Matrix ===

  a  b   <-- classified as
 48  0 |  a = tumoral_urothelia
  0 37 |  b = normal_urothelia

Time taken to perform cross-validation: 3.62 seconds


=== Stratified cross-validation ===

Correctly Classified Instances          53               62.3529 %
Incorrectly Classified Instances        32               37.6471 %
Kappa statistic                          0.2342
Mean absolute error                      0.3807
Root mean squared error                  0.6033
Relative absolute error                 77.3757 %
Root relative squared error            121.6468 %
Total Number of Instances               85     


=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 0,667    0,432    0,667      0,667    0,667      0,234    0,627     0,645     tumoral_urothelia
                 0,568    0,333    0,568      0,568    0,568      0,234    0,627     0,529     normal_urothelia
Weighted Avg.    0,624    0,389    0,624      0,624    0,624      0,234    0,627     0,595     


=== Confusion Matrix ===

  a  b   <-- classified as
 32 16 |  a = tumoral_urothelia
 16 21 |  b = normal_urothelia