The rapid uptake of supervised machine learning (ML) in clinical prediction modelling, particularly for binary outcomes based on tabular data, has sparked debate about its comparative advantage over ...
Abstract: This study investigates feature selection using L1 and L2 regularization methods associated with logistic regression (LR) by leveraging its coefficient-based feature ranking. This research ...
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