Run
21631

Run 21631

Task 15 (Supervised Classification) breast-w Uploaded 19-06-2014 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
0.9589
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9458
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8806
Cross-validation details (10-fold Crossvalidation)
KB relative information score
593.6566
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0699
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.452
Cross-validation details (10-fold Crossvalidation)
Number of instances
699
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
0.9463
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9456
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9297
Cross-validation details (10-fold Crossvalidation)
Recall
0.9456
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1546
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4753
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2204
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4638
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
946.0168[562.83983636088461015.2555353338006483.449727694041907.38665814554741761.1524117823017]