XGBoost is an open source machine learning library that implements optimized distributed gradient boosting algorithms. XGBoost uses parallel processing for fast performance, handles missing values ...

Boosting Algorithms: Gained a deeper understanding of how boosting algorithms like XGBoost improve model accuracy by sequentially training decision trees. Tuning Parameters: Learned how to tune key ...

XGBoost is an acronym for Extreme Gradient Boosting. It is a powerful machine learning algorithm that can be used to solve classification and regression problems. In this project, I implement XGBoost ...

The flow chart for eclectic fuzzy decision-making is illustrated in Figure 1. Beginning with the original sample data, First, virtualizing the fuzzy positive ideal and fuzzy negative ideal. ... The ...

This paper aims to optimize the traditional XGBoost regression model by using the four-vector algorithm, so as to achieve the accurate prediction of road traffic flow. The main objective of the ...