Run
47372

Run 47372

Task 1736 (Learning Curve) diabetes 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
0.6122 ± 0.046
Per class
Build CPU time
0.0142
Build memory
2363665436.6
F measure
0.604 ± 0.0367
Per class
Kappa
0.121 ± 0.0735
KB relative information score
0.2166 ± 0.0755
Mean absolute error
0.3434 ± 0.0328
Mean prior absolute error
0.4545 ± 0.0015
Number of instances
768
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.6307 ± 0.0633
Per class
Predictive accuracy
0.6615 ± 0.0336
Prior entropy
0.9331 ± 0.0046
Recall
0.6615 ± 0.0336
Per class
Relative absolute error
0.7555 ± 0.0704
Root mean prior squared error
0.4766 ± 0.0016
Root mean squared error
0.5476 ± 0.0304
Root relative squared error
1.149 ± 0.0611
SciMark benchmark
1871.2821