Run
148891

Run 148891

Task 3799 (Supervised Classification) fri_c3_500_10 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

0.9372
Per class
Cross-validation details (10-fold Crossvalidation)
0.8941
Per class
Cross-validation details (10-fold Crossvalidation)
0.7867
Cross-validation details (10-fold Crossvalidation)
197.2243
Cross-validation details (10-fold Crossvalidation)
0.3296
Cross-validation details (10-fold Crossvalidation)
0.4961
Cross-validation details (10-fold Crossvalidation)
500
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]
0.8943
Per class
Cross-validation details (10-fold Crossvalidation)
0.894
Cross-validation details (10-fold Crossvalidation)
0.9945
Cross-validation details (10-fold Crossvalidation)
0.894
Per class
Cross-validation details (10-fold Crossvalidation)
0.6643
Cross-validation details (10-fold Crossvalidation)
0.4981
Cross-validation details (10-fold Crossvalidation)
0.3579
Cross-validation details (10-fold Crossvalidation)
0.7185
Cross-validation details (10-fold Crossvalidation)
947.9494
850
Cross-validation details (10-fold Crossvalidation)
850
Cross-validation details (10-fold Crossvalidation)