The article analyzes how different factors influence the US economy by creating index systems and using machine learning regression models. Various models were tested, and a prediction model was established without considering the epidemic situation. Data was preprocessed, index systems were determined, and the optimal model for data fitting and prediction was selected. Linear regression was used to predict indicators for the next four years.