DVS Edition Citation

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 (7th ed.) Citation

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 Style (17th ed.) Citation

Gao, Z., and 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 (9th ed.) Citation

Gao, Z., and 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.

Warning: These citations may not always be 100% accurate.