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: 0.9 seconds

Time taken to test model on training data: 1.33 seconds

=== Error on training data ===

Correctly Classified Instances          45              100      %
Incorrectly Classified Instances         0                0      %
Kappa statistic                          1     
Mean absolute error                      0.0306
Root mean squared error                  0.0353
Relative absolute error                  9.6497 %
Root relative squared error              8.9422 %
Total Number of Instances               45     


=== 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     JMML_LIN28_low
                 1,000    0,000    1,000      1,000    1,000      1,000    1,000     1,000     JMML_LIN28_high
                 1,000    0,000    1,000      1,000    1,000      1,000    1,000     1,000     MML_LIN28_high
                 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  c  d   <-- classified as
 18  0  0  0 |  a = JMML_LIN28_low
  0 20  0  0 |  b = JMML_LIN28_high
  0  0  1  0 |  c = MML_LIN28_high
  0  0  0  6 |  d = normal

Time taken to perform cross-validation: 1.48 seconds


=== Stratified cross-validation ===

Correctly Classified Instances          17               37.7778 %
Incorrectly Classified Instances        28               62.2222 %
Kappa statistic                          0.1213
Mean absolute error                      0.3186
Root mean squared error                  0.5264
Relative absolute error                 99.5914 %
Root relative squared error            132.8463 %
Total Number of Instances               45     


=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 0,389    0,222    0,538      0,389    0,452      0,180    0,583     0,454     JMML_LIN28_low
                 0,350    0,320    0,467      0,350    0,400      0,032    0,515     0,452     JMML_LIN28_high
                 0,000    0,205    0,000      0,000    0,000      -0,075   0,398     0,022     MML_LIN28_high
                 0,500    0,128    0,375      0,500    0,429      0,331    0,686     0,254     normal
Weighted Avg.    0,378    0,253    0,473      0,378    0,416      0,129    0,563     0,417     


=== Confusion Matrix ===

 a b c d   <-- classified as
 7 5 3 3 | a = JMML_LIN28_low
 5 7 6 2 | b = JMML_LIN28_high
 0 1 0 0 | c = MML_LIN28_high
 1 2 0 3 | d = normal