What is generalization explain in detail?

Generalization is the process by which a model or algorithm applies learned patterns from specific data to new, unseen data. In machine learning, it refers to a model's ability to perform well on a test dataset that it has not encountered during training. Effective generalization ensures that the model captures the underlying trends and relationships within the data rather than memorizing specific examples, which can lead to overfitting. Achieving good generalization is crucial for the model's practical application in real-world scenariOS.