DEVELOPMENT... OpenML
Run
175859

Run 175859

Task 20 (Supervised Classification) mfeat-pixel 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
0.9183
Per class
F measure
0.8357
Per class
Kappa
0.8167
KB relative information score
1644.1751
Mean absolute error
0.0371
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8372
Per class
Predictive accuracy
0.835
Prior entropy
3.3219
Recall
0.835
Per class
Relative absolute error
0.206
Root mean prior squared error
0.3
Root mean squared error
0.171
Root relative squared error
0.57
SciMark benchmark
1341.2341
UserCPU time millis
1030
UserCPU time millis training
1030