Handling Imbalanced Datasets: Beyond Oversampling
Imbalanced datasets pose significant challenges in machine learning, affecting the performance and reliability of predictive models. Traditional approaches like simple oversampling and undersampling have limitations and may not suffice for complex imbalances. This article delves into advanced techniques and considerations for handling imbalanced datasets, moving beyond the conventional oversampling methods to provide a more nuanced…