Run
413291

Run 413291

Task 2354 (Supervised Classification) meta_ensembles.arff Uploaded 06-05-2015 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(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
0.6837
Per class
Cross-validation details (33% Holdout set)
F measure
0.5429
Per class
Cross-validation details (33% Holdout set)
Kappa
0.2577
Cross-validation details (33% Holdout set)
KB relative information score
5.8935
Cross-validation details (33% Holdout set)
Mean absolute error
0.2327
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.2983
Cross-validation details (33% Holdout set)
Number of instances
24
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
0.4825
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.625
Cross-validation details (33% Holdout set)
Prior entropy
1.5899
Cross-validation details (33% Holdout set)
Recall
0.625
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.78
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.3886
Cross-validation details (33% Holdout set)
Root mean squared error
0.3862
Cross-validation details (33% Holdout set)
Root relative squared error
0.9938
Cross-validation details (33% Holdout set)
SciMark benchmark
926.5859
UserCPU time millis
40
Cross-validation details (33% Holdout set)
UserCPU time millis training
40
Cross-validation details (33% Holdout set)