Run
412718

Run 412718

Task 4340 (Supervised Classification) fri_c1_250_50 Uploaded 04-05-2015 by Joaquin Vanschoren
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Flow

weka.Decorate(2)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(2)_E15
weka.Decorate(2)_R1.0
weka.Decorate(2)_S1
weka.Decorate(2)_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

0.917
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.8501
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.6975
Cross-validation details (10 times 10-fold Crossvalidation)
790.2376
Cross-validation details (10 times 10-fold Crossvalidation)
0.3638
Cross-validation details (10 times 10-fold Crossvalidation)
0.4954
Cross-validation details (10 times 10-fold Crossvalidation)
2500
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
0.8502
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.85
Cross-validation details (10 times 10-fold Crossvalidation)
0.9934
Cross-validation details (10 times 10-fold Crossvalidation)
0.85
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.7343
Cross-validation details (10 times 10-fold Crossvalidation)
0.4977
Cross-validation details (10 times 10-fold Crossvalidation)
0.3875
Cross-validation details (10 times 10-fold Crossvalidation)
0.7785
Cross-validation details (10 times 10-fold Crossvalidation)
899.1108
640
Cross-validation details (10 times 10-fold Crossvalidation)
10
Cross-validation details (10 times 10-fold Crossvalidation)
630
Cross-validation details (10 times 10-fold Crossvalidation)