Run
47103

Run 47103

Task 1713 (Learning Curve) mfeat-fourier 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
0.9584 ± 0.0076
Per class
Build CPU time
0.0484
Build memory
747696822.2545
F measure
0.7609 ± 0.0141
Per class
Kappa
0.7333 ± 0.0172
KB relative information score
0.7791 ± 0.0159
Mean absolute error
0.049 ± 0.003
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.7674 ± 0.0127
Per class
Predictive accuracy
0.76 ± 0.0155
Prior entropy
3.3219
Recall
0.76 ± 0.0155
Per class
Relative absolute error
0.2723 ± 0.0165
Root mean prior squared error
0.3
Root mean squared error
0.1942 ± 0.0075
Root relative squared error
0.6472 ± 0.0251
SciMark benchmark
1871.2821