Run
47134

Run 47134

Task 1757 (Learning Curve) waveform-5000 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
0.9564 ± 0.0063
Per class
Build CPU time
0.054
Build memory
408765553.2571
F measure
0.7874 ± 0.0188
Per class
Kappa
0.6996 ± 0.0251
KB relative information score
0.7253 ± 0.0195
Mean absolute error
0.1357 ± 0.0093
Mean prior absolute error
0.4444 ± 0
Number of instances
5000
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.834 ± 0.0133
Per class
Predictive accuracy
0.7994 ± 0.0168
Prior entropy
1.5849 ± 0
Recall
0.7994 ± 0.0168
Per class
Relative absolute error
0.3054 ± 0.0208
Root mean prior squared error
0.4714 ± 0
Root mean squared error
0.3359 ± 0.0147
Root relative squared error
0.7126 ± 0.0312
SciMark benchmark
1794.5417