// Hacker Noon · 13 March 2026

Feature Selection for Imbalanced Datasets Using Pearson Distance and KL Divergence

Machine learning models often struggle with highly imbalanced datasets because they overfit the dominant class and miss the minority signals that matter most. This article introduces a lightweight, model-free feature screening method inspired by medical case-control studies. By directly comparing ho...

Hacker Noon

@hacker-noon · Sergei Nasibyan

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