DEVELOPMENT... OpenML
Run
159008

Run 159008

Task 1735 (Learning Curve) segment 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
0.9907 ± 0.0051
Per class
F measure
0.9591 ± 0.0165
Per class
Kappa
0.9525 ± 0.0186
KB relative information score
0.9494 ± 0.0172
Mean absolute error
0.0154 ± 0.0045
Mean prior absolute error
0.2449
Number of instances
2310
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9594 ± 0.016
Per class
Predictive accuracy
0.9593 ± 0.016
Prior entropy
2.8074
Recall
0.9593 ± 0.016
Per class
Relative absolute error
0.0628 ± 0.0184
Root mean prior squared error
0.3499
Root mean squared error
0.103 ± 0.019
Root relative squared error
0.2943 ± 0.0542
SciMark benchmark
646.4525
UserCPU time millis
780
UserCPU time millis training
780