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KLASIFIKASI TALENT SCOUTING RENANG MENGGUNAKAN HYBRID LOGISTIC REGRESSION DAN…
Talent identification (Talent Scouting) in swimming is a crucial stage in long-term athlete development; however, selection processes that rely on subjective judgment may lead to bias. This study aims to develop a more objective classification model for identifying potential swimming athletes using a Machine Learning approach. The dataset consists of 100 records with 13 variables, including ant…
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- xiii, 130 hlm.; ilus.; tab.; 29 cm.
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- T1931432026
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