Table 1.

Comparison of the accuracy of the four models.

Algorithm	Potential distribution modeling (%)	Mean accuracy	Percentage accuracy (%)
Support vector machine	87.23	0.8951	89.51
Random forest classifier	91.43	0.9749	97.49
Multilayer perceptron	N/A	0.9644	96.44
Naive Bayes	84.14	0.8146	81.46