Elemzés

resultA.out

=== Run information ===
Scheme:       weka.classifiers.trees.J48 -C 0.25 -M 2
Relation:     sample-weka.filters.supervised.attribute.AddClassification-Wweka.classifiers.rules.ZeroR-weka.filters.supervised.attribute.AddClassification-Wweka.classifiers.rules.ZeroR-weka.filters.unsupervised.attribute.Remove-R6
Instances:    35
Attributes:   7
              Theta_rp
              Alfa_rp
              Beta_rp
              Gamma_rp
              frate
              PISI_ALL
              Mélység
Test mode:    10-fold cross-validation

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

J48 pruned tree
------------------

Theta_rp <= 0.000134: 1 (17.0/5.0)
Theta_rp > 0.000134
|   Beta_rp <= 0: 1 (4.0/1.0)
|   Beta_rp > 0: 0 (14.0/2.0)

Number of Leaves  : 	3

Size of the tree : 	5


Time taken to build model: 0.01 seconds

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

Correctly Classified Instances          17               48.5714 %
Incorrectly Classified Instances        18               51.4286 %
Kappa statistic                         -0.0227
Mean absolute error                      0.5297
Root mean squared error                  0.6395
Relative absolute error                105.5922 %
Root relative squared error            127.4066 %
Total Number of Instances               35     

=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 0.588    0.611    0.476      0.588    0.526      -0.023   0.440     0.443     1
                 0.389    0.412    0.500      0.389    0.438      -0.023   0.440     0.489     0
Weighted Avg.    0.486    0.509    0.488      0.486    0.481      -0.023   0.440     0.467     

=== Confusion Matrix ===

  a  b   <-- classified as
 10  7 |  a = 1
 11  7 |  b = 0

resultB.out

=== Run information ===
Scheme:       weka.classifiers.trees.J48 -C 0.25 -M 2
Relation:     sample-weka.filters.supervised.attribute.AddClassification-Wweka.classifiers.rules.ZeroR-weka.filters.supervised.attribute.AddClassification-Wweka.classifiers.rules.ZeroR-weka.filters.unsupervised.attribute.Remove-R5-7
Instances:    35
Attributes:   5
              Theta_rp
              Alfa_rp
              Beta_rp
              Gamma_rp
              Mélység
Test mode:    10-fold cross-validation

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

J48 pruned tree
------------------

Theta_rp <= 0.000134: 1 (17.0/5.0)
Theta_rp > 0.000134
|   Beta_rp <= 0: 1 (4.0/1.0)
|   Beta_rp > 0: 0 (14.0/2.0)

Number of Leaves  : 	3

Size of the tree : 	5


Time taken to build model: 0 seconds

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

Correctly Classified Instances          19               54.2857 %
Incorrectly Classified Instances        16               45.7143 %
Kappa statistic                          0.085 
Mean absolute error                      0.4797
Root mean squared error                  0.5685
Relative absolute error                 95.6122 %
Root relative squared error            113.2498 %
Total Number of Instances               35     

=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 0.529    0.444    0.529      0.529    0.529      0.085    0.536     0.500     1
                 0.556    0.471    0.556      0.556    0.556      0.085    0.536     0.560     0
Weighted Avg.    0.543    0.458    0.543      0.543    0.543      0.085    0.536     0.531     

=== Confusion Matrix ===

  a  b   <-- classified as
  9  8 |  a = 1
  8 10 |  b = 0