Table 3. Training of DNNs for recognition of ten lineages.
DNN Model Training | Testing Results | |||
---|---|---|---|---|
‹Aval›a | ‹Ntest›b | ‹Ncorrect›c | ‹Atest›d | ‹κ›e |
0.97 (SD 0.03) | 1000 (SD 0) | 697 (SD 132) | 0.71 (SD 0.12) | 0.67 (SD 0.13) |
a ‹Aval›; average validation accuracy.
b ‹Ntest›; average number of images in the testing sets.
c ‹Ncorrect›; average number of images in the testing sets predicted correctly.
d ‹Atest›; average accuracy in the test sets.
e ‹κ›; average value of the Cohen’s Kappa coefficient for predictions of the testing sets.