The ROC curves of the reference and new models derived from the test dataset across imbalance ranging from 1% to 99% of the event class.

<p>The ROC curves were plotted using the same iterations as those used for the training dataset.</p> <p>(TIFF)</p>

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Bibliographic Details
Main Author:	Barbara Więckowska (536264) (author)
Other Authors:	Katarzyna B. Kubiak (18585116) (author), Przemysław Guzik (18585122) (author)
Published:	2025
Subjects:	Medicine Science Policy Infectious Diseases Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified proved highly effective net reclassification index nested setting ). matthews correlation coefficient heart disease dataset generated random variables certain traditional measures higher imbalance levels defined imbalance levels imbalanced binary classification xlink "> real using real data reference model overfitted entire imbalance range brier skill score smile method indicated reference prediction model majority class outnumbers new variable added reference model imbalance range class imbalance smile method majority class variable selection prediction improvement imbalanced datasets smile plots smile plot minority class event class class balance weighting factor useful tool seven pre reference models ratio test previously developed point size life problems level approach
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