DEVELOPMENT... OpenML
Run
15338

Run 15338

Task 1712 (Learning Curve) breast-cancer Uploaded 04-06-2014 by Mandy
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Flow

weka.BayesNet_K2(1)Weka implementation of BayesNet
weka.BayesNet_K2(1)_Dtrue
weka.BayesNet_K2(1)_Qweka.classifiers.bayes.net.search.local.K2
weka.K2(1)_P1
weka.K2(1)_SBAYES

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.7058 ± 0.097
Per class
F measure
0.7226 ± 0.0569
Per class
Kappa
0.3209 ± 0.1458
KB relative information score
0.1941 ± 0.0992
Mean absolute error
0.3269 ± 0.0373
Mean prior absolute error
0.4183 ± 0.0068
Number of instances
286
Per class
OS information
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Precision
0.7187 ± 0.0609
Per class
Predictive accuracy
0.7308 ± 0.0509
Prior entropy
0.8779 ± 0.0209
Recall
0.7308 ± 0.0509
Per class
Relative absolute error
0.7815 ± 0.0924
Root mean prior squared error
0.457 ± 0.0075
Root mean squared error
0.4551 ± 0.0401
Root relative squared error
0.9958 ± 0.0888
SciMark benchmark
873.5255