DEVELOPMENT... OpenML
Run
50195

Run 50195

Task 1702 (Learning Curve) kr-vs-kp 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
0.9927 ± 0.0043
Per class
Build CPU time
0.0001
Build memory
507195269.4667
F measure
0.9712 ± 0.0147
Per class
Kappa
0.9422 ± 0.0294
KB relative information score
0.7794 ± 0.0131
Mean absolute error
0.1272 ± 0.0061
Mean prior absolute error
0.499 ± 0.0001
Number of instances
3196
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9716 ± 0.014
Per class
Predictive accuracy
0.9712 ± 0.0146
Prior entropy
0.9986 ± 0.0002
Recall
0.9712 ± 0.0146
Per class
Relative absolute error
0.2549 ± 0.0123
Root mean prior squared error
0.4995 ± 0.0001
Root mean squared error
0.1991 ± 0.0118
Root relative squared error
0.3987 ± 0.0235
SciMark benchmark
1652.2022