DEVELOPMENT... OpenML
Run
176787

Run 176787

Task 4275 (Supervised Classification) biomed 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
0.8918
Per class
F measure
0.8824
Per class
Kappa
0.7445
KB relative information score
1486.5906
Mean absolute error
0.1321
Mean prior absolute error
0.4605
Number of instances
2090
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8824
Per class
Predictive accuracy
0.8823
Prior entropy
0.9428
Recall
0.8823
Per class
Relative absolute error
0.2868
Root mean prior squared error
0.4797
Root mean squared error
0.3272
Root relative squared error
0.682
SciMark benchmark
1501.4698