Open Access

Table 2

Performance metrics for each model.

Label Model F1 score (%) Precision (%) Recall (%)
A Full 91.0 (0.7) 90.1 (1.2) 92.1 (0.3)
B Multiscale 91.1 (0.3) 90.5 (0.3) 91.7 (0.3)
C Cropped-16 87.9 (0.4) 88.0 (0.7) 87.9 (0.5)
D Full+FFT 91.0 (0.4) 90.7 (1.1) 91.4 (0.4)
E Multiscale+FFT 90.5 (0.3) 90.6 (0.4) 90.4 (0.4)
F Cropped-16+FFT 90.9 (0.3) 91.1 (0.7) 90.8 (0.2)

Notes. Mean values and standard deviations (in parentheses) are based on five training runs for each model.

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