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Based on this, this study is based on the machine learning algorithm and uses the support vector machine to build the competitive sports model and fitness motivation evaluation. At the same time, this study combines the actual situation to construct a corresponding factor analysis model for racing sports, and this factor analysis is a combination of data mining and machine learning. Only by adopting appropriate measures can students\u2019 motivation of physical fitness be effectively fostered and stimulated, their active participation in physical exercise and lifelong fitness habits be fostered. On the basis of traditional SVM method, PCA-SVM model is constructed to further improve the prediction accuracy and validity of fitness motivation. In this paper, the principal components of eight kinds of operation behavior are extracted; fitness motivation is not only the direct reason for college students to participate in fitness exercise, but also the motive force of fitness behavior. Grid Search algorithm is selected to optimize the parameters of SVM. The recognition rate of Grid Search-SVM is 94.79%, and satisfactory results are obtained.<\/jats:p>","DOI":"10.3233\/jifs-179202","type":"journal-article","created":{"date-parts":[[2019,6,11]],"date-time":"2019-06-11T11:39:23Z","timestamp":1560253163000},"page":"6191-6203","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":2,"title":["Competition prediction and fitness behavior based on GA-SVM algorithm and PCA model"],"prefix":"10.1177","volume":"37","author":[{"given":"Tuojian","family":"Li","sequence":"first","affiliation":[{"name":"Shandong University, Jinan, Shandong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jinhai","family":"Sun","sequence":"additional","affiliation":[{"name":"Shandong University, Jinan, Shandong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xianliang","family":"Zhang","sequence":"additional","affiliation":[{"name":"Shandong University, Jinan, Shandong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lei","family":"Wang","sequence":"additional","affiliation":[{"name":"Shandong University, Jinan, Shandong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Penglei","family":"Zhu","sequence":"additional","affiliation":[{"name":"Shandong University, Jinan, Shandong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ning","family":"Wang","sequence":"additional","affiliation":[{"name":"Shandong University, Jinan, Shandong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2019,6,8]]},"reference":[{"key":"e_1_3_2_2_2","doi-asserted-by":"crossref","unstructured":"UsharaniR. 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