DEVELOPMENT... OpenML
Run
48678

Run 48678

Task 1701 (Learning Curve) anneal Uploaded 05-11-2014 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
0.9686 ± 0.031
Per class
Build CPU time
0.0126
Build memory
842869482.6667
F measure
0.9438 ± 0.0311
Per class
Kappa
0.8591 ± 0.0678
KB relative information score
0.7978 ± 0.0769
Mean absolute error
0.0334 ± 0.0098
Mean prior absolute error
0.1343 ± 0.0013
Number of instances
898
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9438 ± 0.0305
Per class
Predictive accuracy
0.9454 ± 0.0259
Prior entropy
1.1915 ± 0.026
Recall
0.9454 ± 0.0259
Per class
Relative absolute error
0.2488 ± 0.074
Root mean prior squared error
0.2582 ± 0.0024
Root mean squared error
0.1267 ± 0.0278
Root relative squared error
0.4908 ± 0.1102
SciMark benchmark
1193.7396