DEVELOPMENT... OpenML
Run
176061

Run 176061

Task 1933 (Supervised Classification) vehicle 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
0.867
Per class
F measure
0.7237
Per class
Kappa
0.6334
KB relative information score
5799.1524
Mean absolute error
0.1405
Mean prior absolute error
0.3748
Number of instances
8460
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.7231
Per class
Predictive accuracy
0.7252
Prior entropy
1.9991
Recall
0.7252
Per class
Relative absolute error
0.3748
Root mean prior squared error
0.4329
Root mean squared error
0.3215
Root relative squared error
0.7425
SciMark benchmark
1358.4523
UserCPU time millis
60
UserCPU time millis training
60