Artificial Intelligence, Machine Learning.
Technique (SMOTE) generate synthetic samples to balance class distributions. Cost-sensitive learning assigns different misclassification costs to different classes, effectively managing imbalances. Challenge: Noisy Data Deep learning models are robust to noise in data due to their ability to learn