DEVELOPMENT... OpenML
Run
50196

Run 50196

Task 1710 (Learning Curve) balance-scale 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.

19 Evaluation measures

Area under ROC curve
0.9508 ± 0.0139
Per class
Build CPU time
0.0001
Build memory
502092008.8
Kappa
0.7923 ± 0.0392
KB relative information score
0.5031 ± 0.0451
Mean absolute error
0.1845 ± 0.0197
Mean prior absolute error
0.3798 ± 0.0012
Number of instances
625
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Predictive accuracy
0.888 ± 0.0213
Prior entropy
1.3181 ± 0.0124
Recall
0.888 ± 0.0213
Per class
Relative absolute error
0.4859 ± 0.0517
Root mean prior squared error
0.4356 ± 0.0014
Root mean squared error
0.2738 ± 0.016
Root relative squared error
0.6287 ± 0.0364
SciMark benchmark
1652.2022