DEVELOPMENT... OpenML
Run
48683

Run 48683

Task 2097 (Learning Curve) satimage 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
0.9327 ± 0.0098
Per class
Build CPU time
0.2959
Build memory
3829654006.2857
F measure
0.865 ± 0.0084
Per class
Kappa
0.8334 ± 0.0105
KB relative information score
0.8377 ± 0.0118
Mean absolute error
0.047 ± 0.0034
Mean prior absolute error
0.2701 ± 0
Number of instances
6430
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.865 ± 0.0082
Per class
Predictive accuracy
0.865 ± 0.0085
Prior entropy
2.4834 ± 0.0009
Recall
0.865 ± 0.0085
Per class
Relative absolute error
0.1741 ± 0.0124
Root mean prior squared error
0.3675 ± 0
Root mean squared error
0.2063 ± 0.0087
Root relative squared error
0.5614 ± 0.0237
SciMark benchmark
1729.8248