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Logistic regression is a classification model used in ML that applies a linear combination of the data X, with weights W, to discriminate between classes of the dependent variable Y. It models the probability of an outcome using a logistic (sigmoid) function:
(1)
Since the equation consists of a linear combination of the features transformed by a sigmoid function, each weight of the model directly corresponds to the weight of a feature in determining the output.
JMIR Med Inform 2025;13:e64617
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Adolescent Cyberbullying and Cyber Victimization: Longitudinal Study Before and During COVID-19
J Med Internet Res 2025;27:e70508
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