Utilizing longitudinal microbiome taxonomic profiles to predict food allergy via Long Short-Term Memory networks
Fig 4
(A) Trajectory of training and validation loss function (Loss(2)) of the autoencoder with 60x25x60 architecture. The lowest loss on validation set was 16.79 and when the test set applied to this best model, the loss was 17.04. (B) Trajectory of training and validation loss function (Loss(1)) of the LSTM. The lowest loss on validation set was 0.91 and when the test set applied to this best model, the loss was 1.02