What is feature engineering in random forests?

What is feature engineering in random forests?

Feature engineering in random forests involves selecting, modifying, or creating features to improve model performance.

Why is feature engineering important for random forests?

It's crucial because well-engineered features can enhance the model's ability to capture patterns and improve accuracy.

Can you give me some examples of feature engineering techniques?

Sure! Techniques include normalization, encoding categorical variables, and creating interaction features.

How do I know which features to engineer?

You can use techniques like correlation analysis, feature importance from models, and domain knowledge to guide your choices.