DEVELOPMENT... OpenML
Run
176079

Run 176079

Task 2074 (Supervised Classification) satimage 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
0.9308
Per class
F measure
0.8637
Per class
Kappa
0.8327
KB relative information score
5381.7417
Mean absolute error
0.0471
Mean prior absolute error
0.2701
Number of instances
6430
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8631
Per class
Predictive accuracy
0.8645
Prior entropy
2.4836
Recall
0.8645
Per class
Relative absolute error
0.1745
Root mean prior squared error
0.3675
Root mean squared error
0.2068
Root relative squared error
0.5626
SciMark benchmark
1358.4523
UserCPU time millis
3770
UserCPU time millis testing
30
UserCPU time millis training
3740