Feature Selection | XGBoosting

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.

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