Utilizing longitudinal microbiome taxonomic profiles to predict food allergy via Long Short-Term Memory networks

Table 1

Losses (training, validation, and testing) of the best trained model for several autoencoder architectures.

The 60x25x60 architecture is the chosen model because it achieves small loss while using the least number of parameters.