DEVELOPMENT... OpenML
Run
175956

Run 175956

Task 1766 (Supervised Classification) anneal Uploaded 21-02-2015 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
0.9491
Per class
F measure
0.9191
Per class
Kappa
0.7952
KB relative information score
3213.2019
Mean absolute error
0.0426
Mean prior absolute error
0.1343
Number of instances
4490
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9186
Per class
Predictive accuracy
0.9212
Prior entropy
1.2149
Recall
0.9212
Per class
Relative absolute error
0.3171
Root mean prior squared error
0.2582
Root mean squared error
0.1483
Root relative squared error
0.5743
SciMark benchmark
1341.2341
UserCPU time millis
40
UserCPU time millis training
40