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. 2022 Sep 23;13:1007295. doi: 10.3389/fmicb.2022.1007295

Table 2.

Overall performance of the optimal classifiers.

Classification algorithm Number of features ACC MCC Macro F1 Weighted F1
k-nearest neighbor 10 0.784 0.730 0.793 0.790
Random forest 35 0.893 0.842 0.873 0.895
Support vector machine 1,025 0.920 0.881 0.926 0.921
Decision tree 590 0.771 0.686 0.749 0.780