DEVELOPMENT... OpenML
Run
68150

Run 68150

Task 30 (Supervised Classification) page-blocks Uploaded 30-11-2014 by Felicia West
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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

Area under ROC curve
0.9454
Per class
Build CPU time
1.6337
Build memory
865336244.0007
F measure
0.9167
Per class
Kappa
0.5667
KB relative information score
1479.0277
Mean absolute error
0.0448
Mean prior absolute error
0.0762
Number of instances
5473
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.938
Per class
Predictive accuracy
0.9046
Prior entropy
0.6391
Recall
0.9046
Per class
Relative absolute error
0.5886
Root mean prior squared error
0.1949
Root mean squared error
0.1728
Root relative squared error
0.8871
SciMark benchmark
905.0866