DEVELOPMENT... OpenML
Run
148900

Run 148900

Task 3808 (Supervised Classification) kidney 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
0.9066
Per class
F measure
0.8288
Per class
Kappa
0.6565
KB relative information score
22.8071
Mean absolute error
0.3713
Mean prior absolute error
0.4987
Number of instances
76
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8289
Per class
Predictive accuracy
0.8289
Prior entropy
0.9981
Recall
0.8289
Per class
Relative absolute error
0.7447
Root mean prior squared error
0.4993
Root mean squared error
0.3948
Root relative squared error
0.7906
SciMark benchmark
947.9494
UserCPU time millis
20
UserCPU time millis training
20