Working with Imbalanced Datasets: A Practical Guide for ML and Medical AI Researchers
Why 98% accuracy can mean a useless model — and how to detect, measure, and fix class imbalance with resampling, SMOTE, and cost-sensitive learning. Updated for 2025 — originally published August 2018 Class imbalance is one of the most common real-world problems in machine learning — and it’s especially severe in medical datasets. Here’s a … Read more