Table 1.
Hyperparameters of the machine-learning and deep-learning models.
| Model and hyperparameters | Value | |
| Decision trees |
|
|
|
|
min_samples_leaf | 1 |
|
|
min_samples_split | 2 |
| AdaBoost: n_estimators | 45 | |
| Random forests |
|
|
|
|
min_samples_leaf | 1 |
|
|
min_samples_split | 2 |
|
|
n_estimators | 100 |
| k-nearest neighbor |
|
|
|
|
n_neighbors | 3 |
|
|
leaf_size | 30 |
|
|
p | 2 |
| Deep neural network |
|
|
|
|
fully connected layer 1 | 45 |
|
|
fully connected layer 2 | 45 |