Table 3 Model Parameters.
From: Adversarial susceptibility analysis for water quality prediction models
Model | Key Hyperparameters |
|---|---|
Random Forest | n_estimators = 500, max_depth = 10, min_samples_split = 2, random_state = 42 |
XGBoost | n_estimators = 300, max_depth = 6, learning_rate = 0.1, subsample = 0.8, gamma = 0 |
MLP | hidden_layer_sizes=(100, 50), activation=’relu’, solver=’adam’, max_iter = 1000 |
TabNet | n_d = 32, n_a = 32, n_steps = 5, gamma = 1.5, lambda_sparse = 1e-3, max_epochs = 100 |
