Run
47090

Run 47090

Task 2097 (Learning Curve) satimage 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
0.9229 ± 0.0083
Per class
Build CPU time
0.0597
Build memory
691077336.4
F measure
0.8033 ± 0.0138
Per class
Kappa
0.7495 ± 0.0169
KB relative information score
0.7691 ± 0.0159
Mean absolute error
0.0686 ± 0.0048
Mean prior absolute error
0.2701 ± 0
Number of instances
6430
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.8196 ± 0.0142
Per class
Predictive accuracy
0.7952 ± 0.0139
Prior entropy
2.4834 ± 0.0009
Recall
0.7952 ± 0.0139
Per class
Relative absolute error
0.2538 ± 0.0177
Root mean prior squared error
0.3675 ± 0
Root mean squared error
0.2546 ± 0.01
Root relative squared error
0.6927 ± 0.0272
SciMark benchmark
1871.2821