Run
47369

Run 47369

Task 1728 (Learning Curve) credit-approval 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_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
0.6631 ± 0.0602
Per class
Build CPU time
0.0299
Build memory
2346949350.4
F measure
0.6383 ± 0.054
Per class
Kappa
0.2693 ± 0.1069
KB relative information score
0.2645 ± 0.1069
Mean absolute error
0.3604 ± 0.0518
Mean prior absolute error
0.494 ± 0.0008
Number of instances
690
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.6392 ± 0.0525
Per class
Predictive accuracy
0.6377 ± 0.0542
Prior entropy
0.9912 ± 0.0022
Recall
0.6377 ± 0.0542
Per class
Relative absolute error
0.7297 ± 0.1052
Root mean prior squared error
0.497 ± 0.0008
Root mean squared error
0.5778 ± 0.0464
Root relative squared error
1.1628 ± 0.0942
SciMark benchmark
1871.2821