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A machine learning model trained on electronic health record (EHR) data predicted progression to schizophrenia or bipolar ...

Repository with code and data of the paper "Multi-objective evolutionary optimization of extreme gradient boosting regression models of the internal turning of PEEK ...

Abstract: The concept of a decentralized smart grid has emerged as a viable approach to efficiently managing and distributing electrical energy. Ensuring the stability and reliability of the grid, ...

Recent research study focused on evaluating bias-mitigated predictive models of perinatal mood and anxiety disorders (PMADs) ...

Gradient boosting machines and their applications in genomics, AdaBoost for bioinformatics data classification, and extreme gradient boosting (XGBoost) for churn prediction are also discussed, ...

This project aims to predict the salary of developers using the Stack Overflow Developer Survey 2022 dataset. The prediction model is built using the Gradient Boosting Regressor (GBR) algorithm.

For years, scientists have tried to understand how animals express emotions. Unlike humans, they cannot describe their ...