DEVELOPMENT... OpenML
Run
25101

Run 25101

Task 74 (Learning Curve) breast-w Uploaded 16-08-2014 by Jason
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Flow

weka.BayesNet_K2(2)Weka implementation of BayesNet
weka.BayesNet_K2(2)_Dtrue
weka.BayesNet_K2(2)_Qweka.classifiers.bayes.net.search.local.K2
weka.K2(2)_P1
weka.K2(2)_SBAYES

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
0.9884 ± 0.0113
Per class
Build CPU time
0.001
Build memory
808382957.3
F measure
0.972 ± 0.0197
Per class
Kappa
0.9383 ± 0.0429
KB relative information score
0.9334 ± 0.0464
Mean absolute error
0.0291 ± 0.0201
Mean prior absolute error
0.4519 ± 0.0014
Number of instances
6990
Per class
OS information
[Oracle Corporation, 1.7.0_55, amd64, Linux, 3.8.0-44-generic]
Precision
0.9727 ± 0.0182
Per class
Predictive accuracy
0.9718 ± 0.02
Prior entropy
0.9293 ± 0.0041
Recall
0.9718 ± 0.02
Per class
Relative absolute error
0.0644 ± 0.0444
Root mean prior squared error
0.4753 ± 0.0014
Root mean squared error
0.1623 ± 0.0717
Root relative squared error
0.3416 ± 0.1507
SciMark benchmark
1141.3398[688.8785921509968988.4354578339036536.870912964.11921015138842528.394961259006]