Run
47087

Run 47087

Task 2102 (Learning Curve) eucalyptus 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
0.8613 ± 0.0268
Per class
Build CPU time
0.0058
Build memory
327496420.7
F measure
0.5519 ± 0.0516
Per class
Kappa
0.4234 ± 0.06
KB relative information score
0.4722 ± 0.0444
Mean absolute error
0.1906 ± 0.015
Mean prior absolute error
0.3132 ± 0.0002
Number of instances
736
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.6141 ± 0.0405
Per class
Predictive accuracy
0.5503 ± 0.0473
Prior entropy
2.2621 ± 0.0043
Recall
0.5503 ± 0.0473
Per class
Relative absolute error
0.6084 ± 0.0479
Root mean prior squared error
0.3957 ± 0.0003
Root mean squared error
0.3631 ± 0.0187
Root relative squared error
0.9177 ± 0.0473
SciMark benchmark
1737.9306