DEVELOPMENT... OpenML
Run
49515

Run 49515

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.SimpleLogistic(2)Niels Landwehr, Mark Hall, Eibe Frank (2005). Logistic Model Trees. Marc Sumner, Eibe Frank, Mark Hall: Speeding up Logistic Model Tree Induction. In: 9th European Conference on Principles and Practice of Knowledge Discovery in Databases, 675-683, 2005.
weka.SimpleLogistic(2)_H50
weka.SimpleLogistic(2)_I0
weka.SimpleLogistic(2)_M500
weka.SimpleLogistic(2)_W0.0

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
0.8336 ± 0.0431
Per class
Build CPU time
0.0227
Build memory
4197288837.3
F measure
0.7686 ± 0.0514
Per class
Kappa
0.481 ± 0.1162
KB relative information score
0.3261 ± 0.0564
Mean absolute error
0.314 ± 0.0234
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
0.7711 ± 0.051
Per class
Predictive accuracy
0.776 ± 0.047
Prior entropy
0.9331 ± 0.0046
Recall
0.776 ± 0.047
Per class
Relative absolute error
0.6908 ± 0.0505
Root mean prior squared error
0.4766 ± 0.0016
Root mean squared error
0.3947 ± 0.027
Root relative squared error
0.8281 ± 0.0558
SciMark benchmark
1655.4655