Multi Target Regression

Multi-target regression is a machine learning task aimed at predicting the target values of multiple continuous variables simultaneously. Unlike traditional single-target regression, multi-target regression processes multiple outputs through one model, enhancing the efficiency and generalization ability of the model. This method has significant application value in areas such as multivariate system modeling, environmental monitoring, and financial analysis, as it can more comprehensively capture the complex relationships within data.