Run
10416666

Run 10416666

Task 2079 (Supervised Classification) eucalyptus Uploaded 11-10-2019 by Jan van Rijn
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  • ReproducibleBenchmark weka weka_3.4.3
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Flow

weka.classifiers.trees.J48(1)Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA.
weka.classifiers.trees.J48(1)_U["false"]
weka.classifiers.trees.J48(1)_O["false"]
weka.classifiers.trees.J48(1)_C["0.25"]
weka.classifiers.trees.J48(1)_M["2"]
weka.classifiers.trees.J48(1)_R["false"]
weka.classifiers.trees.J48(1)_B["false"]
weka.classifiers.trees.J48(1)_S["false"]
weka.classifiers.trees.J48(1)_L["false"]
weka.classifiers.trees.J48(1)_A["false"]
weka.classifiers.trees.J48(1)_J["false"]
weka.classifiers.trees.J48(1)_-doNotMakeSplitPointActualValue["false"]
weka.classifiers.trees.J48(1)_output-debug-info["false"]
weka.classifiers.trees.J48(1)_-do-not-check-capabilities["false"]

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

18 Evaluation measures

Area under ROC curve
0.8331 ± 0.0325
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6092 ± 0.0412
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5025 ± 0.0585
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.5247 ± 0.0484
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1766 ± 0.0166
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3132 ± 0.0003
Cross-validation details (10-fold Crossvalidation)
Number of instances
736
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
['Oracle Corporation', '1.8.0_222', 'amd64', 'Linux', '3.10.0-1062.1.1.el7.x86_64']
Precision
0.6259 ± 0.0578
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6168 ± 0.0473
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.2621 ± 0.0054
Cross-validation details (10-fold Crossvalidation)
Recall
0.6168 ± 0.0473
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5638 ± 0.0533
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3957 ± 0.0004
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3361 ± 0.0216
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8494 ± 0.0547
Cross-validation details (10-fold Crossvalidation)