Run
68353

Run 68353

Task 2125 (Supervised Classification) eucalyptus 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

0.8676
Per class
Cross-validation details (33% Holdout set)
0.277
Cross-validation details (33% Holdout set)
1604263792
Cross-validation details (33% Holdout set)
0.5768
Per class
Cross-validation details (33% Holdout set)
0.4507
Cross-validation details (33% Holdout set)
118.9552
Cross-validation details (33% Holdout set)
0.1924
Cross-validation details (33% Holdout set)
0.3134
Cross-validation details (33% Holdout set)
242
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]
0.6116
Per class
Cross-validation details (33% Holdout set)
0.5661
Cross-validation details (33% Holdout set)
2.2629
Cross-validation details (33% Holdout set)
0.5661
Per class
Cross-validation details (33% Holdout set)
0.6139
Cross-validation details (33% Holdout set)
0.3959
Cross-validation details (33% Holdout set)
0.3536
Cross-validation details (33% Holdout set)
0.893
Cross-validation details (33% Holdout set)
947.3846