DEVELOPMENT... OpenML
Run
175926

Run 175926

Task 261 (Supervised Classification) credit-g 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
0.6283
Per class
F measure
0.6906
Per class
Kappa
0.2563
KB relative information score
58.1622
Mean absolute error
0.3297
Mean prior absolute error
0.4202
Number of instances
330
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.6879
Per class
Predictive accuracy
0.6939
Prior entropy
0.8818
Recall
0.6939
Per class
Relative absolute error
0.7847
Root mean prior squared error
0.4583
Root mean squared error
0.4999
Root relative squared error
1.0909
SciMark benchmark
1341.2341
UserCPU time millis
60
UserCPU time millis training
60