Configuration
Methods
Input / Output
Tree-based models (Random Forest, Decision Tree, Gradient Boosting) do not require scaling. Apply scaling before SVM, KNN, Logistic Regression, and Linear Regression.
Data Processing
Feature Scaling component
Normalize numerical features with standard, min-max, robust, and max-abs scalers to bring columns to a common range before model training.
The Scaling component brings all selected numerical features onto the same scale, which improves the performance of distance-based and gradient-based models.