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: 0.35 seconds

Time taken to test model on training data: 0.22 seconds

=== Error on training data ===

Correctly Classified Instances          12              100      %
Incorrectly Classified Instances         0                0      %
Kappa statistic                          1     
Mean absolute error                      0.0714
Root mean squared error                  0.0714
Relative absolute error                 14.2857 %
Root relative squared error             14.2857 %
Total Number of Instances               12     


=== 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     hepatocellular_carcinoma
                 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
 6 0 | a = hepatocellular_carcinoma
 0 6 | b = normal

Time taken to perform cross-validation: 0.23 seconds


=== Stratified cross-validation ===

Correctly Classified Instances          10               83.3333 %
Incorrectly Classified Instances         2               16.6667 %
Kappa statistic                          0.6667
Mean absolute error                      0.2333
Root mean squared error                  0.3786
Relative absolute error                 46.6667 %
Root relative squared error             75.7188 %
Total Number of Instances               12     


=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 0,667    0,000    1,000      0,667    0,800      0,707    0,833     0,833     hepatocellular_carcinoma
                 1,000    0,333    0,750      1,000    0,857      0,707    0,833     0,750     normal
Weighted Avg.    0,833    0,167    0,875      0,833    0,829      0,707    0,833     0,792     


=== Confusion Matrix ===

 a b   <-- classified as
 4 2 | a = hepatocellular_carcinoma
 0 6 | b = normal