Run
1815889

Run 1815889

Task 10090 (Supervised Classification) amazon-commerce-reviews Uploaded 09-09-2016 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.END_ND_J48(4)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(33)_C0.25
weka.J48(33)_M2
weka.END_ND_J48(4)_S1
weka.END_ND_J48(4)_I10
weka.END_ND_J48(4)_Wweka.classifiers.meta.nestedDichotomies.ND
weka.ND_J48(4)_S1
weka.ND_J48(4)_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
0.9141
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5386
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5286
Cross-validation details (10-fold Crossvalidation)
KB relative information score
793.5269
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.029
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0392
Cross-validation details (10-fold Crossvalidation)
Number of instances
1500
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.5468
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.538
Cross-validation details (10-fold Crossvalidation)
Prior entropy
5.6439
Cross-validation details (10-fold Crossvalidation)
Recall
0.538
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7402
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.14
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.116
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8284
Cross-validation details (10-fold Crossvalidation)