Machine Learning Fundamentals › Feature Selection Basics

What are best practices for Feature Selection Basics

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Answer

Always perform feature selection using only the training data, and combine domain knowledge with statistical methods rather than relying on automation alone.

Real-world example A hospital predicting patient risk may start with fifty medical measurements but use feature selection to narrow it down to the ten most useful ones, making the model faster and easier to explain to doctors.

Common follow-ups: What is feature engineering, What is dimensionality reduction, What is correlation

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