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Run
175855

Run 175855

Task 14 (Supervised Classification) mfeat-fourier 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
0.8905
Per class
F measure
0.7542
Per class
Kappa
0.7278
KB relative information score
1507.8419
Mean absolute error
0.0506
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
0.7564
Per class
Predictive accuracy
0.755
Prior entropy
3.3219
Recall
0.755
Per class
Relative absolute error
0.2811
Root mean prior squared error
0.3
Root mean squared error
0.2104
Root relative squared error
0.7012
SciMark benchmark
1466.6185
UserCPU time millis
1790
UserCPU time millis training
1790