OpenML
8869943

Run 8869943

Task 29 (Supervised Classification) credit-approval Uploaded 02-03-2018 by William Raynaut
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Flow

weka.kf.AttributeSelection-Ranker-InfoGain-Standardize-IBk5(1)A Weka KnowledgeFlow using AttributeSelection-Ranker-InfoGain-Standardize-IBk5.kf

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
0.8998
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8462
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6882
Cross-validation details (10-fold Crossvalidation)
KB relative information score
415.7632
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.204
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.494
Cross-validation details (10-fold Crossvalidation)
Number of instances
690
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8462
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8464
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9913
Cross-validation details (10-fold Crossvalidation)
Recall
0.8464
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4131
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.497
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3473
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6988
Cross-validation details (10-fold Crossvalidation)