DEVELOPMENT... OpenML
Run
176594

Run 176594

Task 3896 (Supervised Classification) ada_agnostic 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
0.8216
Per class
F measure
0.8163
Per class
Kappa
0.5003
KB relative information score
1882.7194
Mean absolute error
0.2023
Mean prior absolute error
0.3732
Number of instances
4562
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8143
Per class
Predictive accuracy
0.8194
Prior entropy
0.8085
Recall
0.8194
Per class
Relative absolute error
0.5421
Root mean prior squared error
0.4319
Root mean squared error
0.3786
Root relative squared error
0.8764
SciMark benchmark
1358.4523
UserCPU time millis
2110
UserCPU time millis testing
20
UserCPU time millis training
2090