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Run
175909

Run 175909

Task 242 (Supervised Classification) mfeat-factors 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
0.9484
Per class
F measure
0.902
Per class
Kappa
0.8904
KB relative information score
590.7748
Mean absolute error
0.0211
Mean prior absolute error
0.18
Number of instances
660
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9051
Per class
Predictive accuracy
0.9015
Prior entropy
3.3219
Recall
0.9015
Per class
Relative absolute error
0.1172
Root mean prior squared error
0.3
Root mean squared error
0.1377
Root relative squared error
0.4589
SciMark benchmark
1341.2341
UserCPU time millis
1150
UserCPU time millis testing
10
UserCPU time millis training
1140