Run
18814

Run 18814

Task 53 (Supervised Classification) vehicle Uploaded 11-06-2014 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.

19 Evaluation measures

Area under ROC curve
0.9192
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7238
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6359
Cross-validation details (10-fold Crossvalidation)
KB relative information score
557.9406
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1586
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3748
Cross-validation details (10-fold Crossvalidation)
Number of instances
846
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
0.722
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.727
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.9991
Cross-validation details (10-fold Crossvalidation)
Recall
0.727
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4231
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4329
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2839
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6557
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
943.49[558.51442812634921014.4538648883195482.14720472367435910.22218605324211752.1121496976039]