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. 2022 Apr 28;13:883766. doi: 10.3389/fgene.2022.883766

TABLE 2.

Classification performance of different trained models.

DT NB KNN NN SVM XGB RF
ACC (%) 73.494% 74.465% 74.918% 76.177% 80.504% 78.925% 80.668%
Sn 0.714 0.696 0.690 0.721 0.758 0.789 0.752
Sp 0.756 0.814 0.808 0.803 0.852 0.791 0.861
AUC 0.766 0.793 0.791 0.831 0.878 0.861 0.877

The highest values are in bold.