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Table 1.
Best-fit hyperparameters as obtained by Optuna.
| Model | Hyperparameter | |||
|---|---|---|---|---|
| Hidden | Nodes | Dropout | Training | |
| layers | (n) | rate | epochs | |
| β1 | 1 | 38 | 0.224 | 660 |
| β2 | 1 | 116 | 0.218 | 683 |
| β3 | 1 | 82 | 0.215 | 673 |
Notes. Number of hidden layers, number of nodes in the hidden layer, drop-out fraction, as well as the number of training epochs when utilising early stopping, for each tomographic bin that was activated.
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