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

<p>For each imbalance level, the mean Brier score of the reference model was calculated from 1000 iterations. The ROC curves were then plotted for the iteration in which the reference Brier score was closest to the mean value.</p> <p>(TIFF)</p>

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Barbara Więckowska (536264) (author)
مؤلفون آخرون:	Katarzyna B. Kubiak (18585116) (author), Przemysław Guzik (18585122) (author)
منشور في:	2025
الموضوعات:	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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The ROC curves of the reference and new models derived from the training dataset across imbalance ranging from 1% to 99% of the event class.

مواد مشابهة