OpenML
496682

Run 496682

Task 10088 (Learning Curve) vehicleNorm Uploaded 03-12-2015 by Joaquin Vanschoren
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Flow

weka.PART(4)Eibe Frank, Ian H. Witten: Generating Accurate Rule Sets Without Global Optimization. In: Fifteenth International Conference on Machine Learning, 144-151, 1998.
weka.PART(4)_C0.25
weka.PART(4)_M2
weka.PART(4)_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
0.9031 ± 0.0034
Per class
F measure
0.8575 ± 0.0027
Per class
Kappa
0.7158 ± 0.0055
KB relative information score
61322.2237 ± 47.3103
Mean absolute error
0.2009 ± 0.0024
Mean prior absolute error
0.5
Number of instances
98528
Per class
OS information
[Oracle Corporation, 1.8.0_45, amd64, Linux, 2.6.32-504.8.1.el6.x86_64]
Precision
0.8618 ± 0.0034
Per class
Predictive accuracy
0.8579 ± 0.0028
Prior entropy
1
Recall
0.8579 ± 0.0028
Per class
Relative absolute error
0.4017 ± 0.0048
Root mean prior squared error
0.5
Root mean squared error
0.3315 ± 0.003
Root relative squared error
0.6631 ± 0.006
SciMark benchmark
1023.7606
UserCPU time millis
2388810
UserCPU time millis testing
1820
UserCPU time millis training
2386990