“…The first important and crucial step of designing a BAT prediction system is selection of the suitable model. These models based on their characteristics and application in field of BAT prediction are mainly divided into four categories: probabilistic models (Abkowitz et al, 1987;Anderson & Goodman, 1957;Dhivyabharathi et al, 2016;Guenthner & Hamat, 1988;Hans et al, 2015aHans et al, , 2015bKrb alek & Seba, 2000;Lee et al, 1968;Lin & Bertini, 2004;Tian et al, 2018), historical models (Biagioni et al, 2011;Maiti et al, 2014;Wepulanon et al, 2017), statistical models (Chen et al, 2007;Huang et al, 2021;Patnaik et al, 2004;Sinn et al, 2012;Xiang et al, 2020), shallow machine learning models (Bin et al, 2006;Chen, 2018;Chen et al, 2007;Chien et al, 2002;Fauzan et al, 2019;Hua et al, 2017;Huang et al, 2021;Jalaney & Ganesh, 2020;Ji et al, 2016;Kalaputapu & Demetsky, 1995;Kee et al, 2017;Khamparia & Choudhary, 2019;Lai et al, 2020;Lam et al, 2019;Li, 2017;Lin et al, 2013;Peng et al, 2018;Treethidtaphat et al, 2017;Wang et al, 2014;Yang et al, 2016;Yin et al, 2017;…”