“…The recent literature showcases several examples of ML algorithms in groundwater potential mapping studies. These include support vector machines (Al-Fugara et al, 2022;Panahi et al, 2020), decision trees (Al-Abadi et al, 2021;Arabameri et al, 2021;Braham et al, 2022), artificial neural networks (Chen et al, 2021;Nguyen et al, 2020;Hakim et al, 2022), and ensemble methods like boosting, random forests and extra trees classification, among others (Bai et al, 2022;Choudhary et al, 2022;Gómez-Escalonilla et al, 2021, 2022Martinsen et al, 2022;Sachdeva and Kumar, 2021).…”