DEVELOPMENT... OpenML
Run
232

Run 232

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

weka.DecisionStump(1)Weka implementation of DecisionStump

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
0.8407
Per class
F measure
0.8554
Per class
Kappa
0.7116
KB relative information score
383.9865
Mean absolute error
0.2379
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
0.4815
Root mean prior squared error
0.497
Root mean squared error
0.3452
Root relative squared error
0.6946
SciMark benchmark
2017.1618