DEVELOPMENT... OpenML
Run
50197

Run 50197

Task 2097 (Learning Curve) satimage Uploaded 06-11-2014 by Jason
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.KStar(2)John G. Cleary, Leonard E. Trigg: K*: An Instance-based Learner Using an Entropic Distance Measure. In: 12th International Conference on Machine Learning, 108-114, 1995.
weka.KStar(2)_B20
weka.KStar(2)_Ma

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
0.9888 ± 0.0026
Per class
Build CPU time
0.0002
Build memory
562658180.1714
F measure
0.9063 ± 0.0114
Per class
Kappa
0.8837 ± 0.0142
KB relative information score
0.8921 ± 0.0146
Mean absolute error
0.0328 ± 0.004
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
0.907 ± 0.0112
Per class
Predictive accuracy
0.9058 ± 0.0115
Prior entropy
2.4834 ± 0.0009
Recall
0.9058 ± 0.0115
Per class
Relative absolute error
0.1213 ± 0.0149
Root mean prior squared error
0.3675 ± 0
Root mean squared error
0.162 ± 0.0123
Root relative squared error
0.4408 ± 0.0336
SciMark benchmark
1655.4655