Run
54965

Run 54965

Task 1736 (Learning Curve) diabetes Uploaded 10-11-2014 by Jan van Rijn
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.Dagging_DecisionStump(2)Ting, K. M., Witten, I. H.: Stacking Bagged and Dagged Models. In: Fourteenth international Conference on Machine Learning, San Francisco, CA, 367-375, 1997.
weka.Dagging_DecisionStump(2)_F10
weka.Dagging_DecisionStump(2)_S1
weka.Dagging_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump

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
0.8047 ± 0.0535
Per class
Build CPU time
0.0011
Build memory
1398358855
F measure
0.7291 ± 0.0562
Per class
Kappa
0.3904 ± 0.1235
KB relative information score
0.1986 ± 0.0511
Mean absolute error
0.3733 ± 0.019
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
0.7345 ± 0.0572
Per class
Predictive accuracy
0.7422 ± 0.0522
Prior entropy
0.9331 ± 0.0046
Recall
0.7422 ± 0.0522
Per class
Relative absolute error
0.8214 ± 0.041
Root mean prior squared error
0.4766 ± 0.0016
Root mean squared error
0.4176 ± 0.0199
Root relative squared error
0.8762 ± 0.0409
SciMark benchmark
1606.2579