What is target imbalance? How do we fix it? A scenario where you have performed target imbalance on data. Which metrics and algorithms do you find suitable to input this data onto?

Target imbalance occurs when one class in a classification problem significantly outnumbers the other(s). It can lead to biased model performance.

   - To fix it, you can use techniques like resampling (oversampling/undersampling), generating synthetic samples (SMOTE), or using different evaluation metrics like precision, recall, or F1-score.