DEVELOPMENT... OpenML
Run
149141

Run 149141

Task 3892 (Supervised Classification) hiva_agnostic Uploaded 07-02-2015 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
0.6167
Per class
F measure
0.9558
Per class
Kappa
0.239
KB relative information score
7.8651
Mean absolute error
0.055
Mean prior absolute error
0.0682
Number of instances
4229
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9527
Per class
Predictive accuracy
0.9638
Prior entropy
0.221
Recall
0.9638
Per class
Relative absolute error
0.8067
Root mean prior squared error
0.1844
Root mean squared error
0.1811
Root relative squared error
0.9824
SciMark benchmark
933.8635
UserCPU time millis
5237970
UserCPU time millis testing
20
UserCPU time millis training
5237950

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