Run
643

Run 643

Task 116 (Learning Curve) ionosphere Uploaded 07-04-2014 by Jan van Rijn
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Flow

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.

19 Evaluation measures

Area under ROC curve
0.8835 ± 0.0595
Per class
F measure
0.8947 ± 0.0516
Per class
Kappa
0.7707 ± 0.1117
KB relative information score
0.7012 ± 0.1009
Mean absolute error
0.1436 ± 0.0437
Mean prior absolute error
0.4604 ± 0.0038
Number of instances
3510
Per class
OS information
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Precision
0.8945 ± 0.05
Per class
Predictive accuracy
0.8949 ± 0.0511
Prior entropy
0.9418 ± 0.0113
Recall
0.8949 ± 0.0511
Per class
Relative absolute error
0.3119 ± 0.0948
Root mean prior squared error
0.4797 ± 0.004
Root mean squared error
0.3091 ± 0.0763
Root relative squared error
0.6444 ± 0.159
SciMark benchmark
881.3304