DEVELOPMENT... OpenML
Run
1278

Run 1278

Task 1740 (Learning Curve) soybean Uploaded 16-04-2014 by Mandy
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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
0.9823 ± 0.0139
Per class
F measure
0.9231 ± 0.0383
Per class
Kappa
0.9165 ± 0.0409
KB relative information score
0.9276 ± 0.0297
Mean absolute error
0.0103 ± 0.0033
Mean prior absolute error
0.0961 ± 0.0001
Number of instances
683
Per class
OS information
[ Sun Microsystems Inc., 1.6.0_30, amd64, Linux, 2.6.32-358.6.2.el6.x86_64 ]
Precision
0.9259 ± 0.0325
Per class
Predictive accuracy
0.9239 ± 0.0373
Prior entropy
3.8358 ± 0.0227
Recall
0.9239 ± 0.0373
Per class
Relative absolute error
0.1071 ± 0.0341
Root mean prior squared error
0.2191 ± 0.0002
Root mean squared error
0.0817 ± 0.0205
Root relative squared error
0.3728 ± 0.0936
SciMark benchmark
1134.527