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. 2024 Feb 19;18:1324933. doi: 10.3389/fnins.2024.1324933

Table 3.

Comparison of different models.

Modeling ACC Pre Rec F1
Random forest 85.9% 91.75% 75.50% 84.36%
LightGBM 87.82% 91.83% 84.87% 87.76%
Bi-lstm 89.71% 92.50% 90.36% 89.36%
ResNet 90.30% 91.90% 87.60% 89.70%
XGboost 93.51% 95.02% 92.02% 93.53%
TPE_OptGBM 95.08% 94.80% 97.51% 96.14%

The bold values represents the method we have proposed, and it is also the method that works best.