Run
709

Run 709

Task 98 (Learning Curve) sonar Uploaded 08-04-2014 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
0.7655 ± 0.0963
Per class
F measure
0.7413 ± 0.0879
Per class
Kappa
0.4801 ± 0.1736
KB relative information score
0.422 ± 0.1533
Mean absolute error
0.296 ± 0.0739
Mean prior absolute error
0.4978 ± 0.0015
Number of instances
2080
Per class
OS information
[ Sun Microsystems Inc., 1.6.0_30, amd64, Linux, 2.6.32-358.6.2.el6.x86_64 ]
Precision
0.7413 ± 0.0893
Per class
Predictive accuracy
0.7413 ± 0.0862
Prior entropy
0.9967 ± 0.0043
Recall
0.7413 ± 0.0862
Per class
Relative absolute error
0.5948 ± 0.1485
Root mean prior squared error
0.4989 ± 0.0015
Root mean squared error
0.4645 ± 0.0788
Root relative squared error
0.9311 ± 0.158
SciMark benchmark
795.915