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: 0.28 seconds

Time taken to test model on training data: 0.24 seconds

=== Error on training data ===

Correctly Classified Instances          20              100      %
Incorrectly Classified Instances         0                0      %
Kappa statistic                          1     
Mean absolute error                      0.0455
Root mean squared error                  0.0455
Relative absolute error                  9.0909 %
Root relative squared error              9.0909 %
Total Number of Instances               20     


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


=== Confusion Matrix ===

  a  b   <-- classified as
 10  0 |  a = normal
  0 10 |  b = RCC

Time taken to perform cross-validation: 0.24 seconds


=== Stratified cross-validation ===

Correctly Classified Instances          16               80      %
Incorrectly Classified Instances         4               20      %
Kappa statistic                          0.6   
Mean absolute error                      0.2392
Root mean squared error                  0.4219
Relative absolute error                 47.5166 %
Root relative squared error             83.7025 %
Total Number of Instances               20     


=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 0,700    0,100    0,875      0,700    0,778      0,612    0,810     0,742     normal
                 0,900    0,300    0,750      0,900    0,818      0,612    0,810     0,775     RCC
Weighted Avg.    0,800    0,200    0,813      0,800    0,798      0,612    0,810     0,758     


=== Confusion Matrix ===

 a b   <-- classified as
 7 3 | a = normal
 1 9 | b = RCC