This project introduces the Extreme Gradient Boosting (XGBoost) algorithm, focusing on its application in classification using decision trees. XGBoost enhances prediction accuracy by building trees ...

Here’s how to use XGBoost with InfluxDB. XGBoost is an open source machine learning library that implements optimized distributed gradient boosting algorithms. XGBoost uses parallel processing ...

The flowchart diagram of the proposed S12L-ECG record classification method is shown in Figure ... XGBoost overcomes the limited calculation accuracy and speed. The XGBoost algorithm serialises ...

This repository contains a Python code for classification of the Thoracic Surgery Risk of Survival dataset using the XGBoost machine learning algorithm. The objective is to predict the one-year ...

Abstract: Objective: This study aims to explore the optimization of XGBoost algorithm parameters based on heuristic algorithms, with the goal of improving the classification accuracy of the ...

In this paper, a novel classification model combining Dung beetle optimizer (DBO) and XGBoost is proposed to accurately classify mobile price. In the PCA dimensionality reduction phase, we design a ...