Machine learning in epidemiology: Neural networks forecasting of monkeypox cases
Fig 9
Learning curves for LSTM models in Canada, Portugal, Spain, and the United States.
Each subplot shows the training loss (blue line) decreasing over epochs, indicative of the model’s learning capacity, while the validation loss (red line) presents fluctuations, reflecting the model’s generalization to new data. Notable is the slight convergence between the two losses, suggesting a balance between learning and model complexity.