DEVELOPMENT... OpenML
Run
50213

Run 50213

Task 1736 (Learning Curve) diabetes 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
0.74 ± 0.0551
Per class
Build CPU time
0.0001
Build memory
549994231.7
F measure
0.6876 ± 0.0587
Per class
Kappa
0.3002 ± 0.1354
KB relative information score
0.2859 ± 0.1048
Mean absolute error
0.3151 ± 0.0428
Mean prior absolute error
0.4545 ± 0.0015
Number of instances
768
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.6856 ± 0.0648
Per class
Predictive accuracy
0.6966 ± 0.0552
Prior entropy
0.9331 ± 0.0046
Recall
0.6966 ± 0.0552
Per class
Relative absolute error
0.6933 ± 0.0947
Root mean prior squared error
0.4766 ± 0.0016
Root mean squared error
0.4862 ± 0.0441
Root relative squared error
1.02 ± 0.0929
SciMark benchmark
1655.4655