Run
411861

Run 411861

Task 27 (Supervised Classification) colic Uploaded 01-05-2015 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

0.8863
Per class
Cross-validation details (10-fold Crossvalidation)
0.8375
Per class
Cross-validation details (10-fold Crossvalidation)
0.6479
Cross-validation details (10-fold Crossvalidation)
124.5031
Cross-validation details (10-fold Crossvalidation)
0.3315
Cross-validation details (10-fold Crossvalidation)
0.4662
Cross-validation details (10-fold Crossvalidation)
368
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]
0.8384
Per class
Cross-validation details (10-fold Crossvalidation)
0.8397
Cross-validation details (10-fold Crossvalidation)
0.9509
Cross-validation details (10-fold Crossvalidation)
0.8397
Per class
Cross-validation details (10-fold Crossvalidation)
0.7111
Cross-validation details (10-fold Crossvalidation)
0.4827
Cross-validation details (10-fold Crossvalidation)
0.3701
Cross-validation details (10-fold Crossvalidation)
0.7668
Cross-validation details (10-fold Crossvalidation)
943.4741
550
Cross-validation details (10-fold Crossvalidation)
550
Cross-validation details (10-fold Crossvalidation)