Run
411892

Run 411892

Task 145 (Supervised Classification) BNG(cmc,nominal,55296) Uploaded 01-05-2015 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

0.6883
Per class
Cross-validation details (10-fold Crossvalidation)
0.5176
Per class
Cross-validation details (10-fold Crossvalidation)
0.2506
Cross-validation details (10-fold Crossvalidation)
6266.5823
Cross-validation details (10-fold Crossvalidation)
0.4083
Cross-validation details (10-fold Crossvalidation)
0.4309
Cross-validation details (10-fold Crossvalidation)
55296
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]
0.5177
Per class
Cross-validation details (10-fold Crossvalidation)
0.5186
Cross-validation details (10-fold Crossvalidation)
1.5394
Cross-validation details (10-fold Crossvalidation)
0.5186
Per class
Cross-validation details (10-fold Crossvalidation)
0.9477
Cross-validation details (10-fold Crossvalidation)
0.4642
Cross-validation details (10-fold Crossvalidation)
0.4456
Cross-validation details (10-fold Crossvalidation)
0.9601
Cross-validation details (10-fold Crossvalidation)
933.0918
78240
Cross-validation details (10-fold Crossvalidation)
540
Cross-validation details (10-fold Crossvalidation)
77700
Cross-validation details (10-fold Crossvalidation)