The invention provides a system for evaluating a sex hormone metabolic status of individuals to be detected. The system comprises a data acquisition module, a training module and a voting module; the data acquisition module is used for acquiring sex hormones of normal individuals and individuals with sex hormone related diseases, metabolite levels of the sex hormones and other clinical influence factors; the training module is used for dividing acquired data into training sets, which correspond to the normal individuals and the individuals with the diseases one by one, by utilizing R language software through a bootstrap method; the voting module is used for carrying out sex hormone metabolic status voting on at least one sex hormone and the metabolite level thereof and the other clinical influence factors of the individuals to be detected by utilizing the training sets through a random forest method, and determining the sex hormone metabolic status of the individuals to be detected according to a voting result. According to the scheme provided by the invention, the sex hormone metabolic status of the individuals to be detected can be accurately determined, and the sex hormones, which have the greatest influences on the sex hormone related diseases, and the metabolite levels of the sex hormones are analyzed.