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: 1.85 seconds

Time taken to test model on training data: 4.85 seconds

=== Error on training data ===

Correctly Classified Instances         101              100      %
Incorrectly Classified Instances         0                0      %
Kappa statistic                          1     
Mean absolute error                      0.0097
Root mean squared error                  0.0097
Relative absolute error                  2.0116 %
Root relative squared error              1.977  %
Total Number of Instances              101     


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


=== Confusion Matrix ===

  a  b   <-- classified as
 41  0 |  a = normal
  0 60 |  b = AML

Time taken to perform cross-validation: 5.27 seconds


=== Stratified cross-validation ===

Correctly Classified Instances         100               99.0099 %
Incorrectly Classified Instances         1                0.9901 %
Kappa statistic                          0.9796
Mean absolute error                      0.024 
Root mean squared error                  0.0991
Relative absolute error                  4.9793 %
Root relative squared error             20.1821 %
Total Number of Instances              101     


=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 1,000    0,017    0,976      1,000    0,988      0,980    0,986     0,961     normal
                 0,983    0,000    1,000      0,983    0,992      0,980    0,986     0,993     AML
Weighted Avg.    0,990    0,007    0,990      0,990    0,990      0,980    0,986     0,980     


=== Confusion Matrix ===

  a  b   <-- classified as
 41  0 |  a = normal
  1 59 |  b = AML