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. 2022 Sep 23;13:995323. doi: 10.3389/fmicb.2022.995323

Table 6.

The affect of transfer learning on the performance.

Precision Recall Accuracy F1-score AUC AUPR
With pre-train 0.9833 0.9895 0.9894 0.9864 0.9991 0.9986
Without pre-train 0.8773 0.914 0.9171 0.8953 0.9716 0.9455
Without pre-train (200 epoch) 0.9544 0.9224 0.9529 0.9382 0.9866 0.9821

The bold fonts represent the best performance in each column.