The confusion matrix shows a cross-tabulation of the actual class with the model’s predicted class (based on the conventional probability threshold of 0.5).

The confusion matrix shows a cross-tabulation of the actual class with the model’s predicted class (based on the conventional probability threshold of 0.5).

<p>The confusion matrix shows a cross-tabulation of the actual class with the model’s predicted class (based on the conventional probability threshold of 0.5).</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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