Run
23233

Run 23233

Task 31 (Supervised Classification) credit-g Uploaded 24-06-2014 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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.

17 Evaluation measures

Area under ROC curve
0.6398
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6969
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2584
Cross-validation details (10-fold Crossvalidation)
KB relative information score
161.0546
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3443
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4202
Cross-validation details (10-fold Crossvalidation)
Number of instances
1000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.692
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.709
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8818
Cross-validation details (10-fold Crossvalidation)
Recall
0.709
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8195
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4583
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4789
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0451
Cross-validation details (10-fold Crossvalidation)