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Feature Selection

Helpful examples of feature selection for XGBoost models.

Feature selection is the process of identifying and selecting the most relevant and significant features from a dataset, reducing dimensionality, and improving model performance by eliminating redundant or irrelevant variables.

Use XGBoost Feature Importance for Feature Selection
Use XGBoost Feature Importance for Incremental Feature Selection
XGBoost Drop Non-Predictive Input Features
XGBoost Feature Selection with RFE
XGBoost Performs Automatic Feature Selection
XGBoost Remove Least Important Features