BIOENGINEER

Lab-based XGBoost model predicts lung adenocarcinoma recurrence on EGFR-TKIs

A retrospective study developed an XGBoost model using routine laboratory tests to predict recurrence risk in lung ...
technologynetworks

Random Forests, XGBoost, and Gradient Boosting in Biological Data Analysis

Random forest and gradient boosting algorithms, including XGBoost, have become dependable tools for analyzing biological data because they tolerate messy, mixed-type inputs without extensive ...
InfoWorld

Time series forecasting with XGBoost and InfluxDB

XGBoost is a popular open source machine learning library that can be used to solve all kinds of prediction problems. Here’s how to use XGBoost with InfluxDB. XGBoost is an open source machine ...