Run
413212

Run 413212

Task 1900 (Supervised Classification) mfeat-pixel Uploaded 06-05-2015 by Joaquin Vanschoren
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Flow

weka.END_ND_J48(3)Lin Dong, Eibe Frank, Stefan Kramer: Ensembles of Balanced Nested Dichotomies for Multi-class Problems. In: PKDD, 84-95, 2005. Eibe Frank, Stefan Kramer: Ensembles of nested dichotomies for multi-class problems. In: Twenty-first International Conference on Machine Learning, 2004.
weka.J48(28)_C0.25
weka.J48(28)_M2
weka.END_ND_J48(3)_S1
weka.END_ND_J48(3)_I10
weka.END_ND_J48(3)_Wweka.classifiers.meta.nestedDichotomies.ND
weka.ND_J48(3)_S1
weka.ND_J48(3)_Wweka.classifiers.trees.J48

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

0.9929
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.9302
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.9224
Cross-validation details (10 times 10-fold Crossvalidation)
16645.8507
Cross-validation details (10 times 10-fold Crossvalidation)
0.0539
Cross-validation details (10 times 10-fold Crossvalidation)
0.18
Cross-validation details (10 times 10-fold Crossvalidation)
20000
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]
0.9306
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.9302
Cross-validation details (10 times 10-fold Crossvalidation)
3.3219
Cross-validation details (10 times 10-fold Crossvalidation)
0.9302
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.2994
Cross-validation details (10 times 10-fold Crossvalidation)
0.3
Cross-validation details (10 times 10-fold Crossvalidation)
0.1266
Cross-validation details (10 times 10-fold Crossvalidation)
0.422
Cross-validation details (10 times 10-fold Crossvalidation)
926.5859
2890
Cross-validation details (10 times 10-fold Crossvalidation)
280
Cross-validation details (10 times 10-fold Crossvalidation)
2610
Cross-validation details (10 times 10-fold Crossvalidation)