How to Handle Imbalanced Classes with XGBoost in Python

A beginner-friendly XGBoost classification workflow for rare events: expose the accuracy trap, calculate class weight from training labels, select an alert threshold on validation data, and compare the resulting precision, recall, and workload on untouched test rows.

July 22, 2026 in Python, Machine Learning by Mehdi Lotfinejad12 minutes