DEVELOPMENT... OpenML
Run
52871

Run 52871

Task 1720 (Learning Curve) car Uploaded 07-11-2014 by Jason
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.PART(2)Eibe Frank, Ian H. Witten: Generating Accurate Rule Sets Without Global Optimization. In: Fifteenth International Conference on Machine Learning, 144-151, 1998.
weka.PART(2)_C0.25
weka.PART(2)_M2
weka.PART(2)_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.

21 Evaluation measures

Area under ROC curve
0.9882 ± 0.0102
Per class
Build CPU time
0.0016
Build memory
1594257697.1636
F measure
0.9541 ± 0.0171
Per class
Kappa
0.8988 ± 0.0375
KB relative information score
0.8918 ± 0.0416
Mean absolute error
0.0263 ± 0.0077
Mean prior absolute error
0.229 ± 0.0007
Number of instances
1728
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9555 ± 0.0171
Per class
Predictive accuracy
0.9531 ± 0.0175
Prior entropy
1.2058 ± 0.0093
Recall
0.9531 ± 0.0175
Per class
Relative absolute error
0.1148 ± 0.0335
Root mean prior squared error
0.3381 ± 0.001
Root mean squared error
0.1364 ± 0.0315
Root relative squared error
0.4033 ± 0.0929
SciMark benchmark
1615.5755