DEVELOPMENT... OpenML
Run
148749

Run 148749

Task 3656 (Supervised Classification) diabetes_numeric Uploaded 06-02-2015 by Felicia West
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Flow

weka.Decorate(1)P. Melville, R. J. Mooney: Constructing Diverse Classifier Ensembles Using Artificial Training Examples. In: Eighteenth International Joint Conference on Artificial Intelligence, 505-510, 2003. P. Melville, R. J. Mooney (2004). Creating Diversity in Ensembles Using Artificial Data. Information Fusion: Special Issue on Diversity in Multiclassifier Systems..
weka.Decorate(1)_E15
weka.Decorate(1)_R1.0
weka.Decorate(1)_S1
weka.Decorate(1)_I50

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.

22 Evaluation measures

Area under ROC curve
0.6606
Per class
F measure
0.6164
Per class
Kappa
0.1887
KB relative information score
0.3036
Mean absolute error
0.4747
Mean prior absolute error
0.4791
Number of instances
43
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.616
Per class
Predictive accuracy
0.6279
Prior entropy
0.971
Recall
0.6279
Per class
Relative absolute error
0.9909
Root mean prior squared error
0.4889
Root mean squared error
0.4805
Root relative squared error
0.9827
SciMark benchmark
947.9494
UserCPU time millis
10
UserCPU time millis training
10