Run
47118

Run 47118

Task 1735 (Learning Curve) segment 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
0.9687 ± 0.0051
Per class
Build CPU time
0.0176
Build memory
690017818.5333
F measure
0.7821 ± 0.0177
Per class
Kappa
0.7707 ± 0.0165
KB relative information score
0.7932 ± 0.0152
Mean absolute error
0.0571 ± 0.0036
Mean prior absolute error
0.2449
Number of instances
2310
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.825 ± 0.0275
Per class
Predictive accuracy
0.8035 ± 0.0142
Prior entropy
2.8074
Recall
0.8035 ± 0.0142
Per class
Relative absolute error
0.2333 ± 0.0146
Root mean prior squared error
0.3499
Root mean squared error
0.223 ± 0.0094
Root relative squared error
0.6372 ± 0.0268
SciMark benchmark
1932.1045