DEVELOPMENT... OpenML
Run
148469

Run 148469

Task 37 (Supervised Classification) diabetes Uploaded 03-02-2015 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
0.808
Per class
F measure
0.7378
Per class
Kappa
0.4122
KB relative information score
129.2411
Mean absolute error
0.3828
Mean prior absolute error
0.4545
Number of instances
768
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7386
Per class
Predictive accuracy
0.7461
Prior entropy
0.9335
Recall
0.7461
Per class
Relative absolute error
0.8422
Root mean prior squared error
0.4766
Root mean squared error
0.4202
Root relative squared error
0.8816
SciMark benchmark
929.566
UserCPU time millis
1110
UserCPU time millis training
1110