| | Model | Hyperparameters | Library |
| | ANN | activation = {“identity”, “logistic”, “tanh”, “relu”}, solver = {“lbfgs”, “sgd”, “adam”}, learning_rate = {“constant”, “invscaling”, “adaptive”}, alpha = [0.1, 0.01, 0.001], hidden_layer_sizes = [10, 100] | Sklearn | | DTR | max_depth = [1, 10], max_features = [1, 10], min_samples_split = [1, 10], min_samples_leaf = [1, 10] | Sklearn | | GBR | max_depth = [1, 10], max_features = [1, 10], min_samples_split = [1, 10], min_samples_leaf = [1, 10], loss = {“ls”,“lad”,“huber”,“quantile”} | Sklearn | | KNN | n_neighbors = [1, 10], weights = {“uniform”, “distance”} | Sklearn | | SVR | C = [0, 1] | Sklearn | | LASSO | alpha = [0.001, 100] | Sklearn |
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