Random Forest Regressor: Random forests are a modification of bagging that builds a large collection of de-correlated trees and have become a very popular “out-of-the-box” learning algorithm that ...

Subsequently, nine machine learning algorithms—including logistic regression, random forest (RF), radial support vector machine (RSVM), k-nearest neighbors (KNN), XGBoost, LightGBM, decision tree (DT) ...

In the telecommunications sector, financial losses can be substantial due to customer churn. This study explores the prediction of churn in the industry using four popular machine learning algorithms: ...

Our AI prediction tool used multiple LLMs to generate a XRP price target for September 1 while incorporating momentum-based indicators.

Accurate prediction of fluid transport properties is essential and challenging, especially for non-ideal mixtures and under extreme conditions. In this work, we systematically evaluate several machine ...

Their proposed model, outlined in a paper published in Nature Human Behavior, combines advanced machine learning algorithms with behavioral science theory. "Human-decision research is rich in ...

Gas-Insulated switchgear (GIS) is prone to partial discharges (PDs) in high electric field environments, and the concentration of generated NO2 is an essential indicator for determining the PD types ...

Construction of a clinical prediction model for osteoporosis in asymptomatic elderly population based on machine learning algorithm Provisionally accepted ...

Social media platforms such as Twitter and Facebook have transformed communication by enabling users to share opinions and thoughts instantly. These platforms generate vast amounts of text data that ...