It involves learning from specific examples instead of general rules. It is often used in problems where the domain has a large number of input features, and the model needs to focus on the relevant attributes.
It involves learning from specific examples instead of general rules. It is often used in problems where the domain has a large number of input features, and the model needs to focus on the relevant attributes.