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: 0.45 seconds

Time taken to test model on training data: 0.3 seconds

=== Error on training data ===

Correctly Classified Instances          12              100      %
Incorrectly Classified Instances         0                0      %
Kappa statistic                          1     
Mean absolute error                      0.0714
Root mean squared error                  0.0714
Relative absolute error                 14.2857 %
Root relative squared error             14.2857 %
Total Number of Instances               12     


=== 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
 6 0 | a = normal
 0 6 | b = tumoral

Time taken to perform cross-validation: 0.33 seconds


=== Stratified cross-validation ===

Correctly Classified Instances           9               75      %
Incorrectly Classified Instances         3               25      %
Kappa statistic                          0.5   
Mean absolute error                      0.3   
Root mean squared error                  0.4583
Relative absolute error                 60      %
Root relative squared error             91.6515 %
Total Number of Instances               12     


=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 0,833    0,333    0,714      0,833    0,769      0,507    0,750     0,679     normal
                 0,667    0,167    0,800      0,667    0,727      0,507    0,750     0,700     tumoral
Weighted Avg.    0,750    0,250    0,757      0,750    0,748      0,507    0,750     0,689     


=== Confusion Matrix ===

 a b   <-- classified as
 5 1 | a = normal
 2 4 | b = tumoral