Abstract: This paper focuses on the application of algorithms in data prediction scenarios, where prediction models are constructed and optimised through a variety of algorithms. In the data ...

Overview: Poor data validation, leakage, and weak preprocessing pipelines cause most XGBoost and LightGBM model failures in production.Default hyperparameters, ...

A machine learning model applied to US death certificate data estimated that over 155,000 COVID-19 deaths were unrecognized between March 2020 and December 2021, suggesting total mortality was about ...

Abstract: This study focuses on the volatility characteristics and forecasting needs of the soybean meal-rapeseed meal price spread, aiming to address the difficulty of traditional linear models in ...