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: 2.18 seconds

Time taken to test model on training data: 6.56 seconds

=== Error on training data ===

Correctly Classified Instances         130              100      %
Incorrectly Classified Instances         0                0      %
Kappa statistic                          1     
Mean absolute error                      0.0119
Root mean squared error                  0.0148
Relative absolute error                  3.9186 %
Root relative squared error              3.8137 %
Total Number of Instances              130     


=== 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     ependymoma
                 1,000    0,000    1,000      1,000    1,000      1,000    1,000     1,000     glioblastoma
                 1,000    0,000    1,000      1,000    1,000      1,000    1,000     1,000     medulloblastoma
                 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     pilocytic_astrocytoma
Weighted Avg.    1,000    0,000    1,000      1,000    1,000      1,000    1,000     1,000     


=== Confusion Matrix ===

  a  b  c  d  e   <-- classified as
 46  0  0  0  0 |  a = ependymoma
  0 34  0  0  0 |  b = glioblastoma
  0  0 22  0  0 |  c = medulloblastoma
  0  0  0 13  0 |  d = normal
  0  0  0  0 15 |  e = pilocytic_astrocytoma

Time taken to perform cross-validation: 6.91 seconds


=== Stratified cross-validation ===

Correctly Classified Instances         113               86.9231 %
Incorrectly Classified Instances        17               13.0769 %
Kappa statistic                          0.8274
Mean absolute error                      0.0669
Root mean squared error                  0.2235
Relative absolute error                 22.0942 %
Root relative squared error             57.5003 %
Total Number of Instances              130     


=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 0,978    0,071    0,882      0,978    0,928      0,888    0,944     0,854     ependymoma
                 0,676    0,010    0,958      0,676    0,793      0,754    0,821     0,738     glioblastoma
                 0,909    0,000    1,000      0,909    0,952      0,945    0,939     0,924     medulloblastoma
                 1,000    0,009    0,929      1,000    0,963      0,959    0,994     0,904     normal
                 0,800    0,078    0,571      0,800    0,667      0,627    0,860     0,487     pilocytic_astrocytoma
Weighted Avg.    0,869    0,038    0,891      0,869    0,870      0,840    0,906     0,799     


=== Confusion Matrix ===

  a  b  c  d  e   <-- classified as
 45  0  0  0  1 |  a = ependymoma
  3 23  0  1  7 |  b = glioblastoma
  1  0 20  0  1 |  c = medulloblastoma
  0  0  0 13  0 |  d = normal
  2  1  0  0 12 |  e = pilocytic_astrocytoma