Using the antibody-antigen binding interface to train image-based deep neural networks for antibody-epitope classification
Fig 12
Training of DNN for recognition of Abs from ten lineages.
The validation accuracy (Aval) is a metric associated with the quality of the DNN model that measures the accuracy on the validation set and is potentially prone to overfitting. The green horizontal line at κ equal 0.4 divides the set of predictions on independent test sets of fingerprints into significant (≥ 0.4) and no-significant (< 0.4).