Run
47108

Run 47108

Task 1730 (Learning Curve) credit-g 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
0.7831 ± 0.0489
Per class
Build CPU time
0.0053
Build memory
450339203.5556
F measure
0.7494 ± 0.04
Per class
Kappa
0.3912 ± 0.0923
KB relative information score
0.2751 ± 0.0778
Mean absolute error
0.2966 ± 0.026
Mean prior absolute error
0.4202
Number of instances
1000
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.7467 ± 0.0412
Per class
Predictive accuracy
0.756 ± 0.0425
Prior entropy
0.8813
Recall
0.756 ± 0.0425
Per class
Relative absolute error
0.706 ± 0.0619
Root mean prior squared error
0.4583
Root mean squared error
0.422 ± 0.0344
Root relative squared error
0.9209 ± 0.0751
SciMark benchmark
1932.1045