Run
915

Run 915

Task 68 (Learning Curve) autos 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
0.8608 ± 0.0712
Per class
F measure
0.7457 ± 0.1136
Per class
Kappa
0.6674 ± 0.1454
KB relative information score
0.6642 ± 0.1237
Mean absolute error
0.0893 ± 0.0278
Mean prior absolute error
0.2209 ± 0.0014
Number of instances
2050
Per class
OS information
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Precision
0.7506 ± 0.1092
Per class
Predictive accuracy
0.7468 ± 0.109
Prior entropy
2.2802 ± 0.0732
Recall
0.7468 ± 0.109
Per class
Relative absolute error
0.4043 ± 0.1262
Root mean prior squared error
0.3318 ± 0.0021
Root mean squared error
0.2491 ± 0.055
Root relative squared error
0.7508 ± 0.1662
SciMark benchmark
880.7526