Scientific paper - Original scientific paper
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 (2022), 6; 917. https://doi.org/10.3390/biology11060917

Attia, MennattAllah Hassan; Kholief, Marwa A.; Zaghloul, Nancy M.; Kružić, Ivana; Anđelinović, Šimun; Bašić, Željana; Jerković, Ivan

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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). doi: 10.3390/biology11060917

Attia, MennattAllah Hassan, et al. "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, vol. 11, no. 6, 2022. https://doi.org/10.3390/biology11060917

Attia, MennattAllah Hassan, Marwa A. Kholief, Nancy M. Zaghloul, Ivana Kružić, Šimun Anđelinović, Željana Bašić and Ivan Jerković. "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 (2022). https://doi.org/10.3390/biology11060917

Attia, M. H., et al. (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). doi: 10.3390/biology11060917

Attia MH, Kholief MA, Zaghloul NM, Kružić I, Anđelinović Š, Bašić Ž, and sur.. 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 [Internet]. 2022 June 15 [cited 2024 December 25];11(6). doi: 10.3390/biology11060917

M. H. Attia, et al., "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, vol. 11, no. 6, June 2022. [Online]. Available at: https://urn.nsk.hr/urn:nbn:hr:227:784775. [Accessed: 25 December 2024]

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