Run
412985

Run 412985

Task 4614 (Supervised Classification) ar1 Uploaded 05-05-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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

0.7587
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.8871
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.0251
Cross-validation details (10 times 10-fold Crossvalidation)
-442.5116
Cross-validation details (10 times 10-fold Crossvalidation)
0.1321
Cross-validation details (10 times 10-fold Crossvalidation)
0.1436
Cross-validation details (10 times 10-fold Crossvalidation)
1210
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]
0.868
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.9124
Cross-validation details (10 times 10-fold Crossvalidation)
0.4067
Cross-validation details (10 times 10-fold Crossvalidation)
0.9124
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.92
Cross-validation details (10 times 10-fold Crossvalidation)
0.2625
Cross-validation details (10 times 10-fold Crossvalidation)
0.2678
Cross-validation details (10 times 10-fold Crossvalidation)
1.0201
Cross-validation details (10 times 10-fold Crossvalidation)
926.5859
120
Cross-validation details (10 times 10-fold Crossvalidation)
120
Cross-validation details (10 times 10-fold Crossvalidation)