DEVELOPMENT... OpenML
Run
68351

Run 68351

Task 3916 (Supervised Classification) kc1-binary 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
0.7647
Per class
Build CPU time
0.2913
Build memory
905731641.7103
F measure
0.686
Per class
Kappa
0.3522
KB relative information score
53.4797
Mean absolute error
0.3024
Mean prior absolute error
0.4853
Number of instances
145
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.709
Per class
Predictive accuracy
0.7034
Prior entropy
0.979
Recall
0.7034
Per class
Relative absolute error
0.6231
Root mean prior squared error
0.4925
Root mean squared error
0.5166
Root relative squared error
1.049
SciMark benchmark
947.3846