Run
47096

Run 47096

Task 1714 (Learning Curve) breast-w Uploaded 05-11-2014 by Jan van Rijn
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.Bagging_NaiveBayes(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_NaiveBayes(2)_I10
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
0.9826 ± 0.0171
Per class
Build CPU time
0.0025
Build memory
341785442.4
F measure
0.9602 ± 0.0255
Per class
Kappa
0.9127 ± 0.0553
KB relative information score
0.9075 ± 0.0587
Mean absolute error
0.0402 ± 0.0254
Mean prior absolute error
0.4519 ± 0.0014
Number of instances
699
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.9616 ± 0.0234
Per class
Predictive accuracy
0.9599 ± 0.026
Prior entropy
0.9293 ± 0.0043
Recall
0.9599 ± 0.026
Per class
Relative absolute error
0.089 ± 0.0561
Root mean prior squared error
0.4753 ± 0.0015
Root mean squared error
0.1939 ± 0.0816
Root relative squared error
0.408 ± 0.1717
SciMark benchmark
1737.9306