Run
413009

Run 413009

Task 4648 (Supervised Classification) lymphoma_11classes Uploaded 06-05-2015 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

0.958
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.8071
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.7878
Cross-validation details (10 times 10-fold Crossvalidation)
541.2223
Cross-validation details (10 times 10-fold Crossvalidation)
0.0945
Cross-validation details (10 times 10-fold Crossvalidation)
0.1551
Cross-validation details (10 times 10-fold Crossvalidation)
960
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]
0.8054
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.8208
Cross-validation details (10 times 10-fold Crossvalidation)
3.0892
Cross-validation details (10 times 10-fold Crossvalidation)
0.8208
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.6094
Cross-validation details (10 times 10-fold Crossvalidation)
0.2776
Cross-validation details (10 times 10-fold Crossvalidation)
0.1903
Cross-validation details (10 times 10-fold Crossvalidation)
0.6855
Cross-validation details (10 times 10-fold Crossvalidation)
906.0884
39090
Cross-validation details (10 times 10-fold Crossvalidation)
Cross-validation details (10 times 10-fold Crossvalidation)
39090
Cross-validation details (10 times 10-fold Crossvalidation)