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: 0.81 seconds

Time taken to test model on training data: 1.01 seconds

=== Error on training data ===

Correctly Classified Instances         124              100      %
Incorrectly Classified Instances         0                0      %
Kappa statistic                          1     
Mean absolute error                      0.0079
Root mean squared error                  0.0079
Relative absolute error                  1.5889 %
Root relative squared error              1.5881 %
Total Number of Instances              124     


=== 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     primary_prostate_tumor
                 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
 64  0 |  a = primary_prostate_tumor
  0 60 |  b = normal

Time taken to perform cross-validation: 1.47 seconds


=== Stratified cross-validation ===

Correctly Classified Instances          70               56.4516 %
Incorrectly Classified Instances        54               43.5484 %
Kappa statistic                          0.1308
Mean absolute error                      0.437 
Root mean squared error                  0.6522
Relative absolute error                 87.4838 %
Root relative squared error            130.4927 %
Total Number of Instances              124     


=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 0,531    0,400    0,586      0,531    0,557      0,131    0,588     0,575     primary_prostate_tumor
                 0,600    0,469    0,545      0,600    0,571      0,131    0,588     0,542     normal
Weighted Avg.    0,565    0,433    0,566      0,565    0,564      0,131    0,588     0,559     


=== Confusion Matrix ===

  a  b   <-- classified as
 34 30 |  a = primary_prostate_tumor
 24 36 |  b = normal