| Machine Learning Models | Hyperparameter |
| Boosted Random Forest | n estimators |
| max depth | |
| criterion | |
| min samples split | |
| min samples leaf | |
| max features | |
| Decision Tree | criterion |
| max depth | |
| min samples split | |
| min samples leaf | |
| max features | |
| SVM | C |
| kernel | |
| KNN | N neighbors |
| MLP ANN | number of hidden |
| layers, | |
| loss, | |
| optimizer, | |
| activation, | |
| learning rate, | |
| dropout rate, | |
| epochs, | |
| batch size, | |
| early stop patience |