Run
719

Run 719

Task 94 (Learning Curve) dermatology 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
0.962 ± 0.0227
Per class
F measure
0.8828 ± 0.0521
Per class
Kappa
0.852 ± 0.0665
KB relative information score
0.8377 ± 0.0626
Mean absolute error
0.0494 ± 0.0171
Mean prior absolute error
0.2664 ± 0.0004
Number of instances
3660
Per class
OS information
[ Sun Microsystems Inc., 1.6.0_30, amd64, Linux, 2.6.32-358.6.2.el6.x86_64 ]
Precision
0.8843 ± 0.0451
Per class
Predictive accuracy
0.8817 ± 0.0535
Prior entropy
2.4327 ± 0.0089
Recall
0.8817 ± 0.0535
Per class
Relative absolute error
0.1853 ± 0.0643
Root mean prior squared error
0.3649 ± 0.0006
Root mean squared error
0.1855 ± 0.0433
Root relative squared error
0.5083 ± 0.1187
SciMark benchmark
742.7253