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Dec 3, 2021 · Artificial Intelligence

SMOTE Techniques for Handling Imbalanced Classification in Machine Learning

This article explains the SMOTE oversampling method for imbalanced classification, demonstrates how to generate synthetic minority samples, evaluates models with and without SMOTE using scikit‑learn pipelines, and explores advanced variants such as Borderline‑SMOTE, SVMSMOTE and ADASYN with concrete code examples and benchmark results.