2.7.2
Boruta
Summary
Boruta is a feature selection algorithm that keeps only truly useful features. It helps improve accuracy, interpretability, and comput...
- model assumptions and when the method is appropriate.
- objective criteria and how they influence model behavior.
Intuition #
Boruta is a feature selection algorithm that keeps only truly useful features. It helps improve accuracy, interpretability, and computational cost by removing irrelevant variables.
Detailed Explanation #
Boruta is a feature selection algorithm that keeps only truly useful features. It helps improve accuracy, interpretability, and computational cost by removing irrelevant variables.