DEVELOPMENT... OpenML
Run
48701

Run 48701

Task 1735 (Learning Curve) segment 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
0.9863 ± 0.003
Per class
Build CPU time
0.0213
Build memory
4029811646.8
F measure
0.9679 ± 0.0106
Per class
Kappa
0.9626 ± 0.0122
KB relative information score
0.9643 ± 0.0097
Mean absolute error
0.0102 ± 0.0028
Mean prior absolute error
0.2449
Number of instances
2310
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.968 ± 0.01
Per class
Predictive accuracy
0.968 ± 0.0104
Prior entropy
2.8074
Recall
0.968 ± 0.0104
Per class
Relative absolute error
0.0415 ± 0.0115
Root mean prior squared error
0.3499
Root mean squared error
0.0923 ± 0.0124
Root relative squared error
0.2637 ± 0.0355
SciMark benchmark
1193.7396