DEVELOPMENT... OpenML
Run
755

Run 755

Task 70 (Learning Curve) balance-scale Uploaded 08-04-2014 by Mandy
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weka.JRip(1)William W. Cohen: Fast Effective Rule Induction. In: Twelfth International Conference on Machine Learning, 115-123, 1995.
weka.JRip(1)_F3
weka.JRip(1)_N2.0
weka.JRip(1)_O2
weka.JRip(1)_S1

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
0.86 ± 0.0394
Per class
Kappa
0.6469 ± 0.0701
KB relative information score
0.5194 ± 0.0528
Mean absolute error
0.1853 ± 0.0216
Mean prior absolute error
0.3798 ± 0.0012
Number of instances
6250
Per class
OS information
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Predictive accuracy
0.8096 ± 0.0379
Prior entropy
1.3181 ± 0.0119
Recall
0.8096 ± 0.0379
Per class
Relative absolute error
0.4878 ± 0.0566
Root mean prior squared error
0.4356 ± 0.0014
Root mean squared error
0.3286 ± 0.0311
Root relative squared error
0.7544 ± 0.0713
SciMark benchmark
892.4865