Xgboost Reduce Overfitting
XGBoost has become one of the most popular machine learning algorithms for structured data due to its high performance and flexibility. However, like many powerful models, XGBoost is prone to overfitting, especially when trained on small datasets or with highly complex configurations. Overfitting occurs when the model learns not only the underlying patterns in the … Read more