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: 0.52 seconds

Time taken to test model on training data: 0.7 seconds

=== Error on training data ===

Correctly Classified Instances          55              100      %
Incorrectly Classified Instances         0                0      %
Kappa statistic                          1     
Mean absolute error                      0.0254
Root mean squared error                  0.0294
Relative absolute error                  6.8664 %
Root relative squared error              6.8259 %
Total Number of Instances               55     


=== 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     adenoma
                 1,000    0,000    1,000      1,000    1,000      1,000    1,000     1,000     carcinoma
                 1,000    0,000    1,000      1,000    1,000      1,000    1,000     1,000     metastasis
                 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
 16  0  0  0 |  a = adenoma
  0 17  0  0 |  b = carcinoma
  0  0 11  0 |  c = metastasis
  0  0  0 11 |  d = normal

Time taken to perform cross-validation: 0.73 seconds


=== Stratified cross-validation ===

Correctly Classified Instances          42               76.3636 %
Incorrectly Classified Instances        13               23.6364 %
Kappa statistic                          0.6751
Mean absolute error                      0.1435
Root mean squared error                  0.3293
Relative absolute error                 38.6848 %
Root relative squared error             76.4232 %
Total Number of Instances               55     


=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 0,625    0,128    0,667      0,625    0,645      0,507    0,693     0,479     adenoma
                 0,941    0,211    0,667      0,941    0,780      0,681    0,844     0,621     carcinoma
                 0,636    0,000    1,000      0,636    0,778      0,764    0,798     0,721     metastasis
                 0,818    0,000    1,000      0,818    0,900      0,885    0,878     0,855     normal
Weighted Avg.    0,764    0,102    0,800      0,764    0,764      0,688    0,798     0,647     


=== Confusion Matrix ===

  a  b  c  d   <-- classified as
 10  6  0  0 |  a = adenoma
  1 16  0  0 |  b = carcinoma
  2  2  7  0 |  c = metastasis
  2  0  0  9 |  d = normal