Run
148818

Run 148818

Task 3726 (Supervised Classification) sleuth_ex2016 Uploaded 06-02-2015 by Joaquin Vanschoren
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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

0.7794
Per class
Cross-validation details (10-fold Crossvalidation)
0.7008
Per class
Cross-validation details (10-fold Crossvalidation)
0.4006
Cross-validation details (10-fold Crossvalidation)
20.4583
Cross-validation details (10-fold Crossvalidation)
0.3959
Cross-validation details (10-fold Crossvalidation)
0.4994
Cross-validation details (10-fold Crossvalidation)
87
Per class
Cross-validation details (10-fold Crossvalidation)
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
0.7011
Per class
Cross-validation details (10-fold Crossvalidation)
0.7011
Cross-validation details (10-fold Crossvalidation)
0.9992
Cross-validation details (10-fold Crossvalidation)
0.7011
Per class
Cross-validation details (10-fold Crossvalidation)
0.7928
Cross-validation details (10-fold Crossvalidation)
0.4997
Cross-validation details (10-fold Crossvalidation)
0.4375
Cross-validation details (10-fold Crossvalidation)
0.8754
Cross-validation details (10-fold Crossvalidation)
918.4924
50
Cross-validation details (10-fold Crossvalidation)
50
Cross-validation details (10-fold Crossvalidation)