DEVELOPMENT... OpenML
Run
21147

Run 21147

Task 29 (Supervised Classification) credit-approval Uploaded 18-06-2014 by Felicia West
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Flow

weka.MultiBoostAB_JRip(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.JRip(1)_F3
weka.JRip(1)_N2.0
weka.JRip(1)_O2
weka.JRip(1)_S1
weka.MultiBoostAB_JRip(1)_C3
weka.MultiBoostAB_JRip(1)_I40
weka.MultiBoostAB_JRip(1)_P100
weka.MultiBoostAB_JRip(1)_S1
weka.MultiBoostAB_JRip(1)_Wweka.classifiers.rules.JRip

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.

17 Evaluation measures

Area under ROC curve
0.9101
Per class
F measure
0.8667
Per class
Kappa
0.7301
KB relative information score
495.7047
Mean absolute error
0.14
Mean prior absolute error
0.494
Number of instances
690
Per class
Precision
0.8667
Per class
Predictive accuracy
0.8667
Prior entropy
0.9913
Recall
0.8667
Per class
Relative absolute error
0.2834
Root mean prior squared error
0.497
Root mean squared error
0.3447
Root relative squared error
0.6936