DEVELOPMENT... OpenML
Run
176879

Run 176879

Task 4368 (Supervised Classification) cholesterol Uploaded 22-02-2015 by Jason
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Flow

weka.PART(3)Eibe Frank, Ian H. Witten: Generating Accurate Rule Sets Without Global Optimization. In: Fifteenth International Conference on Machine Learning, 144-151, 1998.
weka.PART(3)_C0.25
weka.PART(3)_M2
weka.PART(3)_Q1

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
0.5438
Per class
F measure
0.5519
Per class
Kappa
0.0943
KB relative information score
218.8007
Mean absolute error
0.46
Mean prior absolute error
0.4955
Number of instances
3030
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.5513
Per class
Predictive accuracy
0.5528
Prior entropy
0.9935
Recall
0.5528
Per class
Relative absolute error
0.9285
Root mean prior squared error
0.4977
Root mean squared error
0.6115
Root relative squared error
1.2287
SciMark benchmark
1330.0803
UserCPU time millis
20
UserCPU time millis training
20