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Run
176032

Run 176032

Task 1892 (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
0.9506
Per class
F measure
0.904
Per class
Kappa
0.8936
KB relative information score
17959.1664
Mean absolute error
0.0202
Mean prior absolute error
0.18
Number of instances
20000
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.904
Per class
Predictive accuracy
0.9042
Prior entropy
3.3219
Recall
0.9042
Per class
Relative absolute error
0.1122
Root mean prior squared error
0.3
Root mean squared error
0.1365
Root relative squared error
0.455
SciMark benchmark
1466.6185
UserCPU time millis
1280
UserCPU time millis testing
10
UserCPU time millis training
1270