DEVELOPMENT... OpenML
Run
176551

Run 176551

Task 3857 (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
0.9558
Per class
F measure
0.9668
Per class
Kappa
0.913
KB relative information score
759.4373
Mean absolute error
0.0362
Mean prior absolute error
0.3828
Number of instances
846
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9668
Per class
Predictive accuracy
0.9669
Prior entropy
0.8241
Recall
0.9669
Per class
Relative absolute error
0.0945
Root mean prior squared error
0.4374
Root mean squared error
0.1795
Root relative squared error
0.4103
SciMark benchmark
1358.4523
UserCPU time millis
20
UserCPU time millis testing
10
UserCPU time millis training
10