DEVELOPMENT... OpenML
Run
586

Run 586

Task 29 (Supervised Classification) credit-approval Uploaded 07-04-2014 by Jason
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Flow

weka.OneR(1)R.C. Holte (1993). Very simple classification rules perform well on most commonly used datasets. Machine Learning. 11:63-91.
weka.OneR(1)_B6

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
0.862
Per class
F measure
0.8554
Per class
Kappa
0.7116
KB relative information score
486.4396
Mean absolute error
0.1449
Mean prior absolute error
0.494
Number of instances
690
Per class
OS information
[ Oracle Corporation, 1.7.0_51, amd64, Linux, 3.7.10-1.28-desktop ]
Precision
0.8663
Per class
Predictive accuracy
0.8551
Prior entropy
0.9913
Recall
0.8551
Per class
Relative absolute error
0.2934
Root mean prior squared error
0.497
Root mean squared error
0.3807
Root relative squared error
0.766
SciMark benchmark
2009.5959