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. 2023 Jan 26;10:1052923. doi: 10.3389/fmed.2023.1052923

TABLE 1.

Results of RF-based models using 10 single features.

Cross-validation Feature Dimension AUROC Sn Sp Acc Mcc
10-fold cross-validation AAC 20 0.91 0.85 0.84 0.85 0.69
TPAAC 21 0.90 0.83 0.78 0.80 0.61
APAAC 22 0.89 0.83 0.81 0.82 0.64
ASDC 400 0.88 0.89 0.68 0.79 0.59
DPC 400 0.86 0.87 0.64 0.76 0.53
DDE 400 0.83 0.84 0.73 0.78 0.57
GAAC 5 0.75 0.72 0.66 0.69 0.39
GDPC 25 0.78 0.75 0.71 0.73 0.46
SOCNumber 2 0.70 0.66 0.62 0.64 0.28
QSOrder 42 0.89 0.82 0.82 0.82 0.64
Independent set validation AAC 20 0.96 0.91 0.89 0.90 0.80
TPAAC 21 0.94 0.83 0.86 0.84 0.69
APAAC 22 0.97 0.89 0.91 0.90 0.80
ASDC 400 0.92 0.89 0.75 0.82 0.65
CKSAAGP 100 0.87 0.77 0.81 0.79 0.58
DPC 400 0.89 0.88 0.70 0.79 0.59
DDE 400 0.90 0.89 0.84 0.87 0.74
GAAC 5 0.76 0.83 0.64 0.73 0.48
GDPC 25 0.80 0.73 0.72 0.73 0.45
SOCNumber 2 0.73 0.59 0.69 0.64 0.28
QSOrder 42 0.95 0.92 0.84 0.88 0.77

Best performance metrics are shown in bold.