How do you deal with the class imbalance in a classification problem?

Techniques for dealing with class imbalance in classification problems include:

• Resampling (oversampling minority class or undersampling majority class).
• Using different evaluation metrics like F1-score, precision-recall curves.
• Applying synthetic data generation techniques.
• Using ensemble methods like Random Forest or XGBoost.