DEVELOPMENT... OpenML
Run
158984

Run 158984

Task 1710 (Learning Curve) balance-scale 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.

20 Evaluation measures

Area under ROC curve
0.8623 ± 0.0317
Per class
Kappa
0.6469 ± 0.0592
KB relative information score
0.515 ± 0.0534
Mean absolute error
0.1866 ± 0.0226
Mean prior absolute error
0.3798 ± 0.0012
Number of instances
625
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Predictive accuracy
0.8096 ± 0.0319
Prior entropy
1.3181 ± 0.0124
Recall
0.8096 ± 0.0319
Per class
Relative absolute error
0.4913 ± 0.0596
Root mean prior squared error
0.4356 ± 0.0014
Root mean squared error
0.3276 ± 0.0245
Root relative squared error
0.7521 ± 0.0565
SciMark benchmark
646.4525
UserCPU time millis
60
UserCPU time millis training
60