Training history of the NN using the GRU architecture in the case of Model A on Dataset-short. Each plot compares the metric on the training set (solid blue line) with its counterpart on the validation set (solid orange line). The training curve represents the model’s performance on the data it learns from, while the validation curve indicates its performance on a separate dataset (the validation dataset) during the training phase.