Run
15754

Run 15754

Task 48 (Supervised Classification) heart-c Uploaded 04-06-2014 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
0.7969
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7985
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5934
Cross-validation details (10-fold Crossvalidation)
KB relative information score
149.7637
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0986
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2004
Cross-validation details (10-fold Crossvalidation)
Number of instances
303
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
0.7984
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7987
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.0792
Cross-validation details (10-fold Crossvalidation)
Recall
0.7987
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4918
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.315
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2674
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.849
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
919.0155[564.6618688614984967.1041700008193475.94938121824873838.05626036345271749.3060121829703]