Table 5. Classification of Abs recognizing two epitopes at either the base (ADI-15734) or the HR2/MPER region (ADI-15974) of the EBOV-GP trimer.
No. DNN models | Training and Validation | Testing Results | |||||
---|---|---|---|---|---|---|---|
‹Ntraining›a | ‹Mvalidation›b | ‹Aval›c | ‹Ntest›d | ‹Ncorrect›e | ‹Atest›f | ‹κ›g | |
30 | 1007 (SD 62) | 282 (SD 28) | 0.98 (SD 0.02) | 501 (SD 85) | 395 (SD 91) | 0.79 (SD 0.13) | 0.67 (SD 0.22) |
a ‹Ntraining›; average number of fingerprints selected for training.
b ‹Mvalidation›; average number of fingerprints selected for validation.
c ‹Aval›; average validation accuracy.
d ‹Ntest›; average number of images in the testing sets.
e ‹Ncorrect›; average number of images in the testing sets predicted correctly.
f ‹Atest›; average accuracy on the test sets.
g ‹ κ ›; average value of the Cohen’s Kappa coefficient for predictions of the testing sets.