Fig. 2

Identification accuracies of different combinations of breed-informative SNPs detection methods (Delta, F_ST, I_n, and DFI) and machine learning classification methods (ANN, KNN, NB, RF and SVM) with the reference population size of 30 individuals per breed. a, b, c and d refer to the most breed-informative SNPs were 500, 1,000, 1,500, and 2,000, respectively. ANN Artificial Neural Network, KNN K-Nearest Neighbor, NB Naive Bayes, RF Random Forest, SVM Support Vector Machine