Application of ID3 Algorithm in Exercise Prescription

This paper adopts the ID3 algorithm for mining hidden classification rules from mass students’ physical constitution evaluation and sports training result data. It is helpful for PE teacher on planning exercise prescriptions toward college students with different physical constitution conditions by decision support. The algorithm generates a decision tree by choosing attributes with maximum information gain ratio for classification (Fig. 1). Such process involves a classification training set R(Table 1) towards original data, a information gain calculation according to overall evaluation of the physical constitution, separately investigate information gain ratio between physical constitution overall evaluation and each classification attribute, eliminating classification attribute IDs which has no practical significance.