DEVELOPMENT... OpenML
Run
176537

Run 176537

Task 3840 (Supervised Classification) letter 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
0.9738
Per class
F measure
0.9942
Per class
Kappa
0.9262
KB relative information score
17684.5453
Mean absolute error
0.0063
Mean prior absolute error
0.078
Number of instances
20000
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9942
Per class
Predictive accuracy
0.9943
Prior entropy
0.2455
Recall
0.9943
Per class
Relative absolute error
0.0811
Root mean prior squared error
0.1975
Root mean squared error
0.0728
Root relative squared error
0.3685
SciMark benchmark
1392.1129
UserCPU time millis
700
UserCPU time millis testing
20
UserCPU time millis training
680