Tag: XGBoost

A multicenter study shows that a machine learning model combining features from three MRI sequences can non-invasively distinguish luminal A ...

A new machine learning framework calibrated with a strict Zero Miss strategy achieved 100 percent detection of major earthquakes in ...

A machine learning study of 825 older Chinese adults with diabetes found that an XGBoost model could identify high-risk depressive ...

Researchers used Differential Evolution-optimized machine learning to predict the compressive strength of fly ash and waste glass powder geopolymers with ...

Researchers have built an explainable stacked ensemble of boosting algorithms that predicts Bitcoin's short-term closing prices with 97.5 percent explained ...

A benchmark of deep learning and tree-based models shows that one-month drought early warning is achievable in Morocco's Atlas mountains, ...

Indonesian researchers used a decade of Himawari-8 satellite data, machine learning, and a modified Monte Carlo method to project fine ...

Researchers have built an AI framework that grades cassava roots by amylose content using hyperspectral imaging and reconstructs the crucial ...

A 35-year satellite-based analysis of southwestern Iraq's Arar–Karbala dryland transect reveals a significant rising rainfall trend, growing concentration of rain ...

Researchers trained an explainable XGBoost model on 1,670 field-recorded concrete mixes, achieving R-squared 0.9263 in strength prediction while using SHAP ...