Run
148866

Run 148866

Task 3774 (Supervised Classification) fri_c2_250_5 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

0.9304
Per class
Cross-validation details (10-fold Crossvalidation)
0.88
Per class
Cross-validation details (10-fold Crossvalidation)
0.7565
Cross-validation details (10-fold Crossvalidation)
97.9558
Cross-validation details (10-fold Crossvalidation)
0.3278
Cross-validation details (10-fold Crossvalidation)
0.4929
Cross-validation details (10-fold Crossvalidation)
250
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]
0.88
Per class
Cross-validation details (10-fold Crossvalidation)
0.88
Cross-validation details (10-fold Crossvalidation)
0.9898
Cross-validation details (10-fold Crossvalidation)
0.88
Per class
Cross-validation details (10-fold Crossvalidation)
0.6652
Cross-validation details (10-fold Crossvalidation)
0.4964
Cross-validation details (10-fold Crossvalidation)
0.3593
Cross-validation details (10-fold Crossvalidation)
0.7238
Cross-validation details (10-fold Crossvalidation)
947.9494
200
Cross-validation details (10-fold Crossvalidation)
200
Cross-validation details (10-fold Crossvalidation)