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: 0.35 seconds

Time taken to test model on training data: 0.25 seconds

=== Error on training data ===

Correctly Classified Instances          16              100      %
Incorrectly Classified Instances         0                0      %
Kappa statistic                          1     
Mean absolute error                      0.0556
Root mean squared error                  0.0556
Relative absolute error                 11.1111 %
Root relative squared error             11.1111 %
Total Number of Instances               16     


=== 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
                 1,000    0,000    1,000      1,000    1,000      1,000    1,000     1,000     normal
Weighted Avg.    1,000    0,000    1,000      1,000    1,000      1,000    1,000     1,000     


=== Confusion Matrix ===

 a b   <-- classified as
 8 0 | a = tumoral
 0 8 | b = normal

Time taken to perform cross-validation: 0.29 seconds


=== Stratified cross-validation ===

Correctly Classified Instances          14               87.5    %
Incorrectly Classified Instances         2               12.5    %
Kappa statistic                          0.75  
Mean absolute error                      0.1843
Root mean squared error                  0.3336
Relative absolute error                 36.5079 %
Root relative squared error             65.9625 %
Total Number of Instances               16     


=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 0,750    0,000    1,000      0,750    0,857      0,775    0,891     0,900     tumoral
                 1,000    0,250    0,800      1,000    0,889      0,775    0,891     0,821     normal
Weighted Avg.    0,875    0,125    0,900      0,875    0,873      0,775    0,891     0,860     


=== Confusion Matrix ===

 a b   <-- classified as
 6 2 | a = tumoral
 0 8 | b = normal