Run
47105

Run 47105

Task 1728 (Learning Curve) credit-approval 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
0.8956 ± 0.0402
Per class
Build CPU time
0.0037
Build memory
875816095.2
F measure
0.7664 ± 0.0586
Per class
Kappa
0.5286 ± 0.1152
KB relative information score
0.549 ± 0.0824
Mean absolute error
0.2217 ± 0.0395
Mean prior absolute error
0.494 ± 0.0008
Number of instances
690
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.788 ± 0.0532
Per class
Predictive accuracy
0.7739 ± 0.0521
Prior entropy
0.9912 ± 0.0022
Recall
0.7739 ± 0.0521
Per class
Relative absolute error
0.4489 ± 0.0802
Root mean prior squared error
0.497 ± 0.0008
Root mean squared error
0.426 ± 0.042
Root relative squared error
0.8571 ± 0.0845
SciMark benchmark
1771.6524