DEVELOPMENT... OpenML
Run
52872

Run 52872

Task 1722 (Learning Curve) cmc 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
0.6617 ± 0.0346
Per class
Build CPU time
0.0152
Build memory
571696161.04
F measure
0.5156 ± 0.033
Per class
Kappa
0.2488 ± 0.0501
KB relative information score
0.269 ± 0.0416
Mean absolute error
0.3451 ± 0.0185
Mean prior absolute error
0.4308 ± 0.0004
Number of instances
1473
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.5145 ± 0.034
Per class
Predictive accuracy
0.5173 ± 0.0332
Prior entropy
1.539 ± 0.0029
Recall
0.5173 ± 0.0332
Per class
Relative absolute error
0.8011 ± 0.043
Root mean prior squared error
0.4641 ± 0.0005
Root mean squared error
0.4884 ± 0.0168
Root relative squared error
1.0523 ± 0.036
SciMark benchmark
1615.5755