The invention discloses a biological age step-by-step predication method based on a support vector machine, and relates to the biological age step-by-step predication method based on the support vector machine. The invention aims to solve the problems that a conventional biological age predication method is low in predication efficiency, low in accuracy, high in cost, and complex. According to the technical scheme, the biological age step-by-step predication method comprises: step I, preparing a biological age data set; step II, distinguishing a biological sample with known ages from a biological sample with unknown ages; step III, carrying out inter-group classifying; step IV, generating a corresponding support vector machine model; step V, establishing an optimal support vector machine model; step VI, establishing an optical characteristic sub set; step VII, obtaining the group type of an age group corresponding to the biological sample with known ages in the test set; step VIII, carrying out inter-group classifying; step IX, generating an inter-group classified support vector machine model; and step X, obtaining the exact age of a test set sample in certain age group. The biological age step-by-step predication method is applied to the biological age predication field.