DEVELOPMENT... OpenML
Run
148904

Run 148904

Task 3812 (Supervised Classification) arsenic-female-bladder 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
0.5582
Per class
F measure
0.8218
Per class
Kappa
0.1643
KB relative information score
-10.2738
Mean absolute error
0.2384
Mean prior absolute error
0.2462
Number of instances
559
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8304
Per class
Predictive accuracy
0.8623
Prior entropy
0.5956
Recall
0.8623
Per class
Relative absolute error
0.9686
Root mean prior squared error
0.3502
Root mean squared error
0.3425
Root relative squared error
0.9779
SciMark benchmark
947.9494
UserCPU time millis
140
UserCPU time millis training
140