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. 2022 Dec 22;13:1077111. doi: 10.3389/fmicb.2022.1077111

Table 2.

The summary of model performance under 5-fold CV.

Iter1 Iter2 Iter3 Iter4 Iter5
Fold0 Acc 0.7556 0.7722 0.7722 0.7722 0.7833
Rec 0.7444 0.7556 0.7444 0.7333 0.7778
F1 0.7528 0.7684 0.7657 0.7630 0.7821
AUC 0.8121 0.8169 0.8223 0.8254 0.8328
AUPR 0.7866 0.8071 0.8148 0.8223 0.8065
Fold1 Acc 0.7444 0.7333 0.7333 0.7556 0.7722
Rec 0.7444 0.7667 0.7889 0.8111 0.7778
F1 0.7444 0.7419 0.7474 0.7684 0.7735
AUC 0.8020 0.8137 0.8230 0.8181 0.8207
AUPR 0.7661 0.8146 0.8138 0.7945 0.7913
Fold2 Acc 0.7444 0.7222 0.7444 0.7278 0.7556
Rec 0.7333 0.7556 0.7556 0.7667 0.7556
F1 0.7416 0.7312 0.7473 0.7380 0.7556
AUC 0.8258 0.8084 0.8226 0.7947 0.8126
AUPR 0.8279 0.8282 0.8283 0.7794 0.8125
Fold3 Acc 0.7389 0.6833 0.7278 0.7333 0.7278
Rec 0.7444 0.6667 0.7444 0.7222 0.7222
F1 0.7403 0.6780 0.7322 0.7303 0.7263
AUC 0.7795 0.7670 0.7985 0.7968 0.7974
AUPR 0.7906 0.7539 0.7866 0.7919 0.7713
Fold4 Acc 0.7722 0.7556 0.7611 0.7556 0.7611
Rec 0.7333 0.7111 0.7333 0.7000 0.6889
F1 0.7630 0.7442 0.7543 0.7412 0.7425
AUC 0.8485 0.8204 0.8338 0.8260 0.8190
AUPR 0.8468 0.8250 0.8164 0.8237 0.7981