=== Run information ===

Scheme:weka.classifiers.trees.RandomTree -K 0 -M 1.0 -S 1
Relation:     eeg
Instances:    264
Attributes:   9
              AR0
              AR1
              AR2
              AR3
              AR4
              AR5
              AR6
              AR7
              class
Test mode:10-fold cross-validation

=== Classifier model (full training set) ===


RandomTree
==========

AR0 < -0.83 : focused (100/0)
AR0 >= -0.83
|   AR0 < -0.69 : neutral (82/0)
|   AR0 >= -0.69 : calm (82/0)

Size of the tree : 5

Time taken to build model: 0 seconds

=== Stratified cross-validation ===
=== Summary ===

Correctly Classified Instances         264              100      %
Incorrectly Classified Instances         0                0      %
Kappa statistic                          1
Mean absolute error                      0
Root mean squared error                  0
Relative absolute error                  0      %
Root relative squared error              0      %
Total Number of Instances              264

=== Detailed Accuracy By Class ===

               TP Rate   FP Rate   Precision   Recall  F-Measure   ROC Area  Class
                 1         0          1         1         1          1        calm
                 1         0          1         1         1          1        focused
                 1         0          1         1         1          1        neutral
Weighted Avg.    1         0          1         1         1          1

=== Confusion Matrix ===

   a   b   c   <-- classified as
  82   0   0 |   a = calm
   0 100   0 |   b = focused
   0   0  82 |   c = neutral