“…There are many different ways in machine learning involving patterns in which relationships will be discovered, each of which determines the type of technique that can be used to make sense of the output from the data. The most commonly used machine learning methods in the literature are; artificial neural networks (Surayanarayana et al, 2008;Tirelli et al, 2011;Benzer et al, 2017), logistic regression (Benzer et al, 2017;Gültepe and Gültepe, 2020), fuzzy modeling (Zuther et al, 2005), genetic algorithms and programming (Luna et al, 2019), decision tree (Tirelli et al, 2011;Gültepe and Gültepe, 2020), Bayesian network approach (Lin et al, 2004;Hamilton et al, 2015;Trifonova et al, 2017), random forest (Gültepe and Gültepe, 2020;Adibi et al, 2020), support vector machine (Gültepe and Gültepe, 2020;Favaro et al, 2011). Regression-based modeling techniques are widely used to estimate species distribution.…”