Run
4596

Run 4596

Task 115 (Supervised Classification) diabetes Uploaded 18-10-2024 by Jan van Rijn
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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["0.03"]
weka.classifiers.trees.J48(1)_M["10"]
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.

19 Evaluation measures

Area under ROC curve
0.717 ± 0.0817
Per class
F measure
0.7421 ± 0.0577
Per class
Kappa
0.4204 ± 0.1298
KB relative information score
0.2625 ± 0.0744
Mean absolute error
0.3455 ± 0.0278
Mean prior absolute error
0.4545 ± 0.0011
Weighted recall
0.7526 ± 0.0537
Number of instances
768
Per class
OS information
['Homebrew', '23', 'aarch64', 'Mac OS X', '12.5.1']
Precision
0.7458 ± 0.0573
Per class
Predictive accuracy
0.7526 ± 0.0537
Prior entropy
0.9331 ± 0.0032
Relative absolute error
0.7601 ± 0.0614
Root mean prior squared error
0.4766 ± 0.0011
Root mean squared error
0.4306 ± 0.0336
Root relative squared error
0.9035 ± 0.071
Unweighted recall
0.6975 ± 0.0664