Attia, M.H.; Kholief, M.A.; Zaghloul, N.M.; Kružić, I.; Anđelinović, Š.; Bašić, Ž.; Jerković, I.
Efficiency of the Adjusted Binary Classification (ABC) Approach in Osteometric Sex Estimation: A Comparative Study of Different Linear Machine Learning Algorithms and Training Sample Sizes. Biology 2022, 11, 917.
https://doi.org/10.3390/biology11060917
AMA Style
Attia MH, Kholief MA, Zaghloul NM, Kružić I, Anđelinović Š, Bašić Ž, Jerković I.
Efficiency of the Adjusted Binary Classification (ABC) Approach in Osteometric Sex Estimation: A Comparative Study of Different Linear Machine Learning Algorithms and Training Sample Sizes. Biology. 2022; 11(6):917.
https://doi.org/10.3390/biology11060917
Chicago/Turabian Style
Attia, MennattAllah Hassan, Marwa A. Kholief, Nancy M. Zaghloul, Ivana Kružić, Šimun Anđelinović, Željana Bašić, and Ivan Jerković.
2022. "Efficiency of the Adjusted Binary Classification (ABC) Approach in Osteometric Sex Estimation: A Comparative Study of Different Linear Machine Learning Algorithms and Training Sample Sizes" Biology 11, no. 6: 917.
https://doi.org/10.3390/biology11060917
APA Style
Attia, M. H., Kholief, M. A., Zaghloul, N. M., Kružić, I., Anđelinović, Š., Bašić, Ž., & Jerković, I.
(2022). Efficiency of the Adjusted Binary Classification (ABC) Approach in Osteometric Sex Estimation: A Comparative Study of Different Linear Machine Learning Algorithms and Training Sample Sizes. Biology, 11(6), 917.
https://doi.org/10.3390/biology11060917