Retail sales forecasting has long been a cornerstone of operational success in the industry, guiding businesses in optimizing ...

This paper employs the Extreme Gradient Boosting (XGBoost) machine learning algorithm, utilizing experimental data such as formation pressure, formation temperature, surface crude oil density, natural ...

The data is then divided into training and testing sets in a 7:3 ratio for four models: Random Forest, eXtreme Gradient Boosting Decision Tree (XGBoost), Residual Network, and Densely connected ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the random forest regression ...

Build machine learning models (Logistic Regression, Random Forest, and Gradient Boosting) to predict churn ... Experiment with additional machine learning models like XGBoost or Neural Networks.

XGBoost is often presented as the algorithm that wins every ML competition. Surprisingly, this is true even though predictions are piecewise constant. This might be justified in high dimensional input ...

XGBoost is a parallel regression tree model combined with boosting algorithm. Compared with the gradient-boosted decision tree, it adds the idea of regularization to the loss function in order to ...