Run
159009

Run 159009

Task 1736 (Learning Curve) diabetes Uploaded 12-02-2015 by Jan van Rijn
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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
0.728 ± 0.0623
Per class
F measure
0.7415 ± 0.0495
Per class
Kappa
0.4237 ± 0.1112
KB relative information score
0.2582 ± 0.0732
Mean absolute error
0.3467 ± 0.0289
Mean prior absolute error
0.4545 ± 0.0015
Number of instances
768
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.7402 ± 0.0467
Per class
Predictive accuracy
0.7461 ± 0.0458
Prior entropy
0.9331 ± 0.0046
Recall
0.7461 ± 0.0458
Per class
Relative absolute error
0.7629 ± 0.0634
Root mean prior squared error
0.4766 ± 0.0016
Root mean squared error
0.4328 ± 0.0318
Root relative squared error
0.9081 ± 0.0661
SciMark benchmark
646.4525
UserCPU time millis
40
UserCPU time millis training
40