DEVELOPMENT... OpenML
Run
54163

Run 54163

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_VotedPerceptron(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_VotedPerceptron(2)_I10
weka.Bagging_VotedPerceptron(2)_P100
weka.Bagging_VotedPerceptron(2)_S1
weka.Bagging_VotedPerceptron(2)_Wweka.classifiers.functions.VotedPerceptron
weka.Bagging_VotedPerceptron(2)_num-slots1
weka.VotedPerceptron(2)_E1.0
weka.VotedPerceptron(2)_I1
weka.VotedPerceptron(2)_M10000
weka.VotedPerceptron(2)_S1

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
0.6524 ± 0.0285
Per class
Build CPU time
1.3808
Build memory
1650443099.9429
F measure
0.4209 ± 0.0408
Per class
Kappa
0.1291 ± 0.0323
KB relative information score
-0.0675 ± 0.0503
Mean absolute error
0.4972 ± 0.0235
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
0.7304 ± 0.0419
Per class
Predictive accuracy
0.4942 ± 0.0239
Prior entropy
0.9674 ± 0.0006
Recall
0.4942 ± 0.0239
Per class
Relative absolute error
1.0411 ± 0.0494
Root mean prior squared error
0.4886 ± 0.0002
Root mean squared error
0.6821 ± 0.0224
Root relative squared error
1.3959 ± 0.0458
SciMark benchmark
1615.5755