Run
296596

Run 296596

Task 82 (Learning Curve) cmc Uploaded 17-03-2015 by Joaquin Vanschoren
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Flow

weka.JRip(4)William W. Cohen: Fast Effective Rule Induction. In: Twelfth International Conference on Machine Learning, 115-123, 1995.
weka.JRip(4)_F3
weka.JRip(4)_N2.0
weka.JRip(4)_O2
weka.JRip(4)_S1

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

22 Evaluation measures

Area under ROC curve
0.6279 ± 0.0365
Per class
F measure
0.5066 ± 0.0469
Per class
Kappa
0.2374 ± 0.0682
KB relative information score
0.1425 ± 0.0303
Mean absolute error
0.396 ± 0.0095
Mean prior absolute error
0.4308 ± 0.0004
Number of instances
14730
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.5256 ± 0.0466
Per class
Predictive accuracy
0.5281 ± 0.0391
Prior entropy
1.539 ± 0.0028
Recall
0.5281 ± 0.0391
Per class
Relative absolute error
0.9192 ± 0.022
Root mean prior squared error
0.4641 ± 0.0004
Root mean squared error
0.4495 ± 0.0101
Root relative squared error
0.9684 ± 0.0216
SciMark benchmark
1322.4917
UserCPU time millis
40
UserCPU time millis training
40