Gao, Z & Kowalczyk, A. (2021). Random forest model identifies serve strength as a key predictor of tennis match outcome. Journal of Sports Analytics, 7 (4), 255-262. Zugriff am 23.02.2022 unter http://doi.org/10.3233/JSA-200515
APA-Zitierstil (7. Ausg.)Gao, Z., & Kowalczyk, A. (2021). Random forest model identifies serve strength as a key predictor of tennis match outcome. Journal of Sports Analytics, 7(4), 255-262.
Chicago-Zitierstil (17. Ausg.)Gao, Z., und A. Kowalczyk. "Random Forest Model Identifies Serve Strength as a Key Predictor of Tennis Match Outcome." Journal of Sports Analytics 7, no. 4 (2021): 255-262.
MLA-Zitierstil (9. Ausg.)Gao, Z., und A. Kowalczyk. "Random Forest Model Identifies Serve Strength as a Key Predictor of Tennis Match Outcome." Journal of Sports Analytics, vol. 7, no. 4, 2021, pp. 255-262.