Run
47101

Run 47101

Task 1720 (Learning Curve) car 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
0.9759 ± 0.009
Per class
Build CPU time
0.0024
Build memory
277118917.1636
F measure
0.8427 ± 0.0246
Per class
Kappa
0.6579 ± 0.0588
KB relative information score
0.5838 ± 0.0242
Mean absolute error
0.1134 ± 0.0056
Mean prior absolute error
0.229 ± 0.0007
Number of instances
1728
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.8474 ± 0.0254
Per class
Predictive accuracy
0.8519 ± 0.024
Prior entropy
1.2058 ± 0.0093
Recall
0.8519 ± 0.024
Per class
Relative absolute error
0.4951 ± 0.0247
Root mean prior squared error
0.3381 ± 0.001
Root mean squared error
0.2259 ± 0.0065
Root relative squared error
0.668 ± 0.0199
SciMark benchmark
1932.1045