DEVELOPMENT... OpenML
Run
159025

Run 159025

Task 2094 (Learning Curve) adult 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
0.7437 ± 0.0105
Per class
F measure
0.8241 ± 0.0049
Per class
Kappa
0.5013 ± 0.0155
KB relative information score
0.2868 ± 0.0128
Mean absolute error
0.2646 ± 0.0047
Mean prior absolute error
0.3641 ± 0
Number of instances
48842
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8221 ± 0.0052
Per class
Predictive accuracy
0.8309 ± 0.0045
Prior entropy
0.7938 ± 0.0002
Recall
0.8309 ± 0.0045
Per class
Relative absolute error
0.7267 ± 0.0129
Root mean prior squared error
0.4266 ± 0.0001
Root mean squared error
0.3652 ± 0.0035
Root relative squared error
0.8559 ± 0.0084
SciMark benchmark
646.4525
UserCPU time millis
43210
UserCPU time millis testing
70
UserCPU time millis training
43140