Predicting Water Eutrophication Impact Conditions Using Support Vector Machines with Code Implementation Details

Utilizing Support Vector Machine models to predict water eutrophication influencing factors, supplemented by multivariate regression analysis for comprehensive condition forecasting, including algorithm implementation approaches and key function descriptions.