DEVELOPMENT... OpenML
Run
175848

Run 175848

Task 9 (Supervised Classification) autos 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
0.8713
Per class
F measure
0.7165
Per class
Kappa
0.6327
KB relative information score
132.0963
Mean absolute error
0.0868
Mean prior absolute error
0.2209
Number of instances
205
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.7171
Per class
Predictive accuracy
0.7171
Prior entropy
2.3268
Recall
0.7171
Per class
Relative absolute error
0.3931
Root mean prior squared error
0.3318
Root mean squared error
0.2642
Root relative squared error
0.7963
SciMark benchmark
1341.2341
UserCPU time millis
20
UserCPU time millis testing
10
UserCPU time millis training
10