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: 0.6 seconds

Time taken to test model on training data: 0.48 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     adenocarcinoma
                 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
 10  0 |  a = adenocarcinoma
  0 10 |  b = normal

Time taken to perform cross-validation: 0.6 seconds


=== Stratified cross-validation ===

Correctly Classified Instances          17               85      %
Incorrectly Classified Instances         3               15      %
Kappa statistic                          0.7   
Mean absolute error                      0.1958
Root mean squared error                  0.367 
Relative absolute error                 38.9073 %
Root relative squared error             72.8067 %
Total Number of Instances               20     


=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 0,800    0,100    0,889      0,800    0,842      0,704    0,845     0,840     adenocarcinoma
                 0,900    0,200    0,818      0,900    0,857      0,704    0,845     0,771     normal
Weighted Avg.    0,850    0,150    0,854      0,850    0,850      0,704    0,845     0,806     


=== Confusion Matrix ===

 a b   <-- classified as
 8 2 | a = adenocarcinoma
 1 9 | b = normal