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Elemzés
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=== 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 |
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=== 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 |
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