DEVELOPMENT... OpenML
Run
50236

Run 50236

Task 1757 (Learning Curve) waveform-5000 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
0.894 ± 0.0153
Per class
Build CPU time
0.0002
Build memory
496351360.9714
F measure
0.7275 ± 0.0177
Per class
Kappa
0.5914 ± 0.0265
KB relative information score
0.6265 ± 0.0261
Mean absolute error
0.1829 ± 0.0129
Mean prior absolute error
0.4444 ± 0
Number of instances
5000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.7275 ± 0.0176
Per class
Predictive accuracy
0.7276 ± 0.0176
Prior entropy
1.5849 ± 0
Recall
0.7276 ± 0.0176
Per class
Relative absolute error
0.4116 ± 0.0289
Root mean prior squared error
0.4714 ± 0
Root mean squared error
0.4042 ± 0.015
Root relative squared error
0.8576 ± 0.0317
SciMark benchmark
1508.8083