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. 2024 Jan 19;12:12. doi: 10.1186/s40168-023-01717-5

Table 3.

The machine learning performance of different omics

Modality ACC Precise Recall F1 score AUC PR-AUC Optimal operating point
EEG 78.05% 85.71% 63.16% 0.7273 0.8182 0.7328 (0.2273, 0.7368)
Gut microbiota 75.61% 66.67% 89.47% 0.7826 0.7895 0.6577 (0. 4091, 0.9474)
Metabolomic 82.93% 87.50% 73.68% 0.8000 0.8780 0.8490 (0.0455, 0.7368)
EEG + metabolomic 87.81% 88.89% 84.21% 0.8649 0.8947 0.8364 (0.0909, 0.8421)
EEG + gut microbiota 78.05% 72.73% 84.21% 0.7805 0.8014 0.7252 (0.1346, 0.6842)
Metabolomic + gut microbiota 85.37% 93.33% 73.68% 0.8235 0.8852 0.8388 (0.0455, 0.7368)
EEG + metabolomic + gut microbiota 92.69% 94.44% 89.47% 0.9198 0.9641 0.9136 (0.0455, 0.9474)