Run
413272

Run 413272

Task 2117 (Supervised Classification) adult Uploaded 06-05-2015 by Joaquin Vanschoren
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Flow

weka.END_ND_J48(3)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(28)_C0.25
weka.J48(28)_M2
weka.END_ND_J48(3)_S1
weka.END_ND_J48(3)_I10
weka.END_ND_J48(3)_Wweka.classifiers.meta.nestedDichotomies.ND
weka.ND_J48(3)_S1
weka.ND_J48(3)_Wweka.classifiers.trees.J48

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

22 Evaluation measures

Area under ROC curve
0.8697
Per class
Cross-validation details (33% Holdout set)
F measure
0.8427
Per class
Cross-validation details (33% Holdout set)
Kappa
0.5573
Cross-validation details (33% Holdout set)
KB relative information score
6483.1823
Cross-validation details (33% Holdout set)
Mean absolute error
0.2137
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.3658
Cross-validation details (33% Holdout set)
Number of instances
16117
Per class
Cross-validation details (33% Holdout set)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8425
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.8495
Cross-validation details (33% Holdout set)
Prior entropy
0.7939
Cross-validation details (33% Holdout set)
Recall
0.8495
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.5842
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.4287
Cross-validation details (33% Holdout set)
Root mean squared error
0.333
Cross-validation details (33% Holdout set)
Root relative squared error
0.7768
Cross-validation details (33% Holdout set)
SciMark benchmark
906.0884
UserCPU time millis
3330
Cross-validation details (33% Holdout set)
UserCPU time millis testing
420
Cross-validation details (33% Holdout set)
UserCPU time millis training
2910
Cross-validation details (33% Holdout set)