DEVELOPMENT... OpenML
Run
158970

Run 158970

Task 1701 (Learning Curve) anneal Uploaded 12-02-2015 by Jason
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  • study_2 study_37 weka weka_3.7.12
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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
0.9507 ± 0.0397
Per class
F measure
0.9516 ± 0.0283
Per class
Kappa
0.8789 ± 0.0588
KB relative information score
0.8437 ± 0.0593
Mean absolute error
0.023 ± 0.0068
Mean prior absolute error
0.1343 ± 0.0013
Number of instances
898
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9512 ± 0.0285
Per class
Predictive accuracy
0.9521 ± 0.0223
Prior entropy
1.1915 ± 0.026
Recall
0.9521 ± 0.0223
Per class
Relative absolute error
0.1714 ± 0.0511
Root mean prior squared error
0.2582 ± 0.0024
Root mean squared error
0.1201 ± 0.0356
Root relative squared error
0.4652 ± 0.1383
SciMark benchmark
646.4525
UserCPU time millis
120
UserCPU time millis training
120