DVS Edition Citation

Sanjaykumar, S, Natarajan, S, Yoga Lakshmi, P., Orhan, B. E., Lobo, J, Geanta, V.-A & Németh, Z. (2024). Predictive analytics for identifying most valuable players in the 2024 T20 cricket world cup: A comparative study of support vector regression Kernels. Journal of Physical Education and Sport, 24 (10), 1324 - 1330. Zugriff am 19.04.2025 unter https://doi.org/10.7752/jpes.2024.10256%20

APA (7th ed.) Citation

Sanjaykumar, S., Natarajan, S., Yoga Lakshmi, P., Orhan, B. E., Lobo, J., Geanta, V., & Németh, Z. (2024). Predictive analytics for identifying most valuable players in the 2024 T20 cricket world cup: A comparative study of support vector regression Kernels. Journal of Physical Education and Sport, 24(10), 1324 - 1330.

Chicago Style (17th ed.) Citation

Sanjaykumar, S., S. Natarajan, P. Yoga Lakshmi, B. E. Orhan, J. Lobo, V.-A Geanta, and Z. Németh. "Predictive Analytics for Identifying Most Valuable Players in the 2024 T20 Cricket World Cup: A Comparative Study of Support Vector Regression Kernels." Journal of Physical Education and Sport 24, no. 10 (2024): 1324 - 1330.

MLA (9th ed.) Citation

Sanjaykumar, S., et al. "Predictive Analytics for Identifying Most Valuable Players in the 2024 T20 Cricket World Cup: A Comparative Study of Support Vector Regression Kernels." Journal of Physical Education and Sport, vol. 24, no. 10, 2024, pp. 1324 - 1330.