What is 'Feature Selection'?

What is 'Feature Selection'?

Approach: Describe the process of selecting a subset of relevant features.

The process of selecting a subset of relevant features for use in model construction. It helps in reducing overfitting, improving accuracy, and reducing training time.

Follow-up: How does it differ from dimensionality reduction?

Key concepts: filter methods, wrapper methods, embedded methods.