DEVELOPMENT... OpenML
Run
54155

Run 54155

Task 1742 (Learning Curve) spambase Uploaded 08-11-2014 by Jason
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.Bagging(1)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging(1)_P100
weka.Bagging(1)_S1
weka.Bagging(1)_num-slots1
weka.Bagging(1)_I10
weka.Bagging(1)_Wweka.classifiers.functions.SPegasos

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
0.932 ± 0.0149
Per class
Build CPU time
1.6586
Build memory
2024012163.6571
F measure
0.9144 ± 0.011
Per class
Kappa
0.8196 ± 0.0234
KB relative information score
0.8158 ± 0.0253
Mean absolute error
0.0867 ± 0.012
Mean prior absolute error
0.4776 ± 0.0002
Number of instances
4601
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9155 ± 0.011
Per class
Predictive accuracy
0.915 ± 0.0108
Prior entropy
0.9674 ± 0.0006
Recall
0.915 ± 0.0108
Per class
Relative absolute error
0.1815 ± 0.0251
Root mean prior squared error
0.4886 ± 0.0002
Root mean squared error
0.2745 ± 0.0212
Root relative squared error
0.5618 ± 0.0436
SciMark benchmark
1615.5755