Run
47349

Run 47349

Task 1714 (Learning Curve) breast-w 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
0.9516 ± 0.0227
Per class
Build CPU time
0.0074
Build memory
974497800.1
F measure
0.9156 ± 0.0286
Per class
Kappa
0.8179 ± 0.0596
KB relative information score
0.7832 ± 0.0654
Mean absolute error
0.0953 ± 0.0282
Mean prior absolute error
0.4519 ± 0.0014
Number of instances
699
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9244 ± 0.0226
Per class
Predictive accuracy
0.9142 ± 0.0294
Prior entropy
0.9293 ± 0.0043
Recall
0.9142 ± 0.0294
Per class
Relative absolute error
0.2109 ± 0.0623
Root mean prior squared error
0.4753 ± 0.0015
Root mean squared error
0.2788 ± 0.0536
Root relative squared error
0.5867 ± 0.1127
SciMark benchmark
1631.9056