Run
25622

Run 25622

Task 96 (Learning Curve) diabetes Uploaded 19-08-2014 by Jan van Rijn
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Flow

weka.JRip(2)William W. Cohen: Fast Effective Rule Induction. In: Twelfth International Conference on Machine Learning, 115-123, 1995.
weka.JRip(2)_F3
weka.JRip(2)_N2.0
weka.JRip(2)_O2
weka.JRip(2)_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.

21 Evaluation measures

Area under ROC curve
0.718 ± 0.0631
Per class
Build CPU time
0.0096
Build memory
5498300640.67
F measure
0.7428 ± 0.0547
Per class
Kappa
0.4268 ± 0.1233
KB relative information score
0.2576 ± 0.0757
Mean absolute error
0.3473 ± 0.0283
Mean prior absolute error
0.4545 ± 0.0015
Number of instances
7680
Per class
OS information
[Oracle Corporation, 1.7.0_55, amd64, Linux, 3.8.0-44-generic]
Precision
0.7415 ± 0.0559
Per class
Predictive accuracy
0.7473 ± 0.0519
Prior entropy
0.9331 ± 0.0044
Recall
0.7473 ± 0.0519
Per class
Relative absolute error
0.7642 ± 0.0624
Root mean prior squared error
0.4766 ± 0.0015
Root mean squared error
0.4332 ± 0.0341
Root relative squared error
0.9089 ± 0.0717
SciMark benchmark
1118.0594[661.6998081449035978.646534145704533.1389555810424920.77270375868922496.0390419510277]