Run
20469

Run 20469

Task 2074 (Supervised Classification) satimage Uploaded 18-06-2014 by Joaquin Vanschoren
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Flow

weka.END_ND_J48(1)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.END_ND_J48(1)_I10
weka.END_ND_J48(1)_S1
weka.END_ND_J48(1)_Wweka.classifiers.meta.nestedDichotomies.ND
weka.J48(1)_C0.25
weka.J48(1)_M2
weka.ND_J48(1)_S1
weka.ND_J48(1)_Wweka.classifiers.trees.J48

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.9882
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9051
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8853
Cross-validation details (10-fold Crossvalidation)
KB relative information score
5553.3974
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0505
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2701
Cross-validation details (10-fold Crossvalidation)
Number of instances
6430
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9046
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9073
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.4836
Cross-validation details (10-fold Crossvalidation)
Recall
0.9073
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1869
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3675
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1545
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4204
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
929.1853[548.8485382806284993.7880338188492474.47716242600075895.60648190352371733.2063769163399]