Run
1331

Run 1331

Task 72 (Learning Curve) breast-cancer Uploaded 17-04-2014 by Jan van Rijn
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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
0.6981 ± 0.0997
Per class
F measure
0.7189 ± 0.0746
Per class
Kappa
0.3109 ± 0.177
KB relative information score
0.1908 ± 0.1368
Mean absolute error
0.3282 ± 0.0495
Mean prior absolute error
0.4183 ± 0.0065
Number of instances
2860
Per class
OS information
[ Sun Microsystems Inc., 1.6.0_30, amd64, Linux, 2.6.32-358.6.2.el6.x86_64 ]
Precision
0.7149 ± 0.081
Per class
Predictive accuracy
0.728 ± 0.0723
Prior entropy
0.8779 ± 0.0199
Recall
0.728 ± 0.0723
Per class
Relative absolute error
0.7845 ± 0.1159
Root mean prior squared error
0.457 ± 0.0071
Root mean squared error
0.4567 ± 0.0566
Root relative squared error
0.9993 ± 0.1216
SciMark benchmark
1140.6595