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Run
176029

Run 176029

Task 1898 (Supervised Classification) mfeat-morphological 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
0.9248
Per class
F measure
0.7028
Per class
Kappa
0.6886
KB relative information score
14983.1635
Mean absolute error
0.0631
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
0.7152
Per class
Predictive accuracy
0.7197
Prior entropy
3.3219
Recall
0.7197
Per class
Relative absolute error
0.3505
Root mean prior squared error
0.3
Root mean squared error
0.1985
Root relative squared error
0.6617
SciMark benchmark
1351.788
UserCPU time millis
90
UserCPU time millis testing
10
UserCPU time millis training
80