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Run
175915

Run 175915

Task 250 (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
0.9158
Per class
F measure
0.8251
Per class
Kappa
0.8062
KB relative information score
531.8824
Mean absolute error
0.0413
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
0.8286
Per class
Predictive accuracy
0.8258
Prior entropy
3.3219
Recall
0.8258
Per class
Relative absolute error
0.2295
Root mean prior squared error
0.3
Root mean squared error
0.1769
Root relative squared error
0.5896
SciMark benchmark
1466.6185
UserCPU time millis
770
UserCPU time millis training
770