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Hyperparameter search done right: GridSearchCV, RandomizedSearchCV, and Optuna with CV built in
Hyperparameter tuning is easy to get started with and surprisingly easy to get wrong.
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Tuning XGBoost without fooling yourself: early stopping, learning rate, and the parameters that matter
XGBoost tuning becomes dangerous when optimization and evaluation blur together. A workflow can try dozens of configurations, stop each run at its best validation round, select the lowest validation e