Run
68251

Run 68251

Task 2354 (Supervised Classification) meta_ensembles.arff Uploaded 30-11-2014 by Joaquin Vanschoren
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Flow

weka.Bagging_NaiveBayes(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_NaiveBayes(2)_I160
weka.Bagging_NaiveBayes(2)_P100
weka.Bagging_NaiveBayes(2)_S1
weka.Bagging_NaiveBayes(2)_Wweka.classifiers.bayes.NaiveBayes
weka.Bagging_NaiveBayes(2)_num-slots1

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.

21 Evaluation measures

0.7193
Per class
Cross-validation details (33% Holdout set)
0.108
Cross-validation details (33% Holdout set)
375892712
Cross-validation details (33% Holdout set)
0.5606
Per class
Cross-validation details (33% Holdout set)
0.3003
Cross-validation details (33% Holdout set)
5.9601
Cross-validation details (33% Holdout set)
0.2493
Cross-validation details (33% Holdout set)
0.2983
Cross-validation details (33% Holdout set)
24
Per class
Cross-validation details (33% Holdout set)
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
0.5476
Per class
Cross-validation details (33% Holdout set)
0.5833
Cross-validation details (33% Holdout set)
1.5899
Cross-validation details (33% Holdout set)
0.5833
Per class
Cross-validation details (33% Holdout set)
0.8355
Cross-validation details (33% Holdout set)
0.3886
Cross-validation details (33% Holdout set)
0.402
Cross-validation details (33% Holdout set)
1.0346
Cross-validation details (33% Holdout set)
905.0866