DEVELOPMENT... OpenML
Run
176012

Run 176012

Task 1881 (Supervised Classification) anneal 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
0.9907
Per class
F measure
0.9836
Per class
Kappa
0.96
KB relative information score
8327.6832
Mean absolute error
0.0061
Mean prior absolute error
0.1343
Number of instances
8980
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9836
Per class
Predictive accuracy
0.9841
Prior entropy
1.2149
Recall
0.9841
Per class
Relative absolute error
0.0451
Root mean prior squared error
0.2582
Root mean squared error
0.0712
Root relative squared error
0.2758
SciMark benchmark
1384.4418
UserCPU time millis
20
UserCPU time millis training
20