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: 3.08 seconds

Time taken to test model on training data: 17.9 seconds

=== Error on training data ===

Correctly Classified Instances         289              100      %
Incorrectly Classified Instances         0                0      %
Kappa statistic                          1     
Mean absolute error                      0.0034
Root mean squared error                  0.0034
Relative absolute error                  0.6874 %
Root relative squared error              0.6873 %
Total Number of Instances              289     


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


=== Confusion Matrix ===

   a   b   <-- classified as
 146   0 |   a = normal
   0 143 |   b = breast_adenocarcinoma

Time taken to perform cross-validation: 19.5 seconds


=== Stratified cross-validation ===

Correctly Classified Instances         236               81.6609 %
Incorrectly Classified Instances        53               18.3391 %
Kappa statistic                          0.6326
Mean absolute error                      0.1866
Root mean squared error                  0.4261
Relative absolute error                 37.3315 %
Root relative squared error             85.2143 %
Total Number of Instances              289     


=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 0,897    0,266    0,775      0,897    0,832      0,641    0,813     0,751     normal
                 0,734    0,103    0,875      0,734    0,798      0,641    0,813     0,784     breast_adenocarcinoma
Weighted Avg.    0,817    0,185    0,825      0,817    0,815      0,641    0,813     0,767     


=== Confusion Matrix ===

   a   b   <-- classified as
 131  15 |   a = normal
  38 105 |   b = breast_adenocarcinoma