Run
148830

Run 148830

Task 3738 (Supervised Classification) rabe_131 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

0.9959
Per class
Cross-validation details (10-fold Crossvalidation)
0.9799
Per class
Cross-validation details (10-fold Crossvalidation)
0.9587
Cross-validation details (10-fold Crossvalidation)
21.7395
Cross-validation details (10-fold Crossvalidation)
0.3147
Cross-validation details (10-fold Crossvalidation)
0.4877
Cross-validation details (10-fold Crossvalidation)
50
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]
0.9807
Per class
Cross-validation details (10-fold Crossvalidation)
0.98
Cross-validation details (10-fold Crossvalidation)
0.9829
Cross-validation details (10-fold Crossvalidation)
0.98
Per class
Cross-validation details (10-fold Crossvalidation)
0.6453
Cross-validation details (10-fold Crossvalidation)
0.4936
Cross-validation details (10-fold Crossvalidation)
0.3224
Cross-validation details (10-fold Crossvalidation)
0.6531
Cross-validation details (10-fold Crossvalidation)
918.4924
10
Cross-validation details (10-fold Crossvalidation)
10
Cross-validation details (10-fold Crossvalidation)