Table 3 Hyperparameter space for the models developed with Strategy A
DT model | ANN model | ||
|---|---|---|---|
Hyperparameters | Values | Hyperparameters | Values |
Maximum depth (D) | 5, 10, 15, 20 | Number of hidden layers (H) | 1, 2 |
Minimum samples split (S) | 30, 40, 50, 100 | Neurons (N) | 25, 50, 100 |
Minimum samples leaf (L) | 20, 30, 40, 50 | Batch size (B) | 8, 16, 32, 64, 200 |
Max features (F) | auto = considering all the inputs, sqrt = considering the square root of the total number of inputs, and log2 = Log Base 2 of the total number of inputs | Activation function (A) | ReLU, sigmoid, tanh |
Optimizer (O) | adam, SGD | ||
Learning rate (Lr) | 0.001, 0.01, 0.1 | ||
Alpha (α) | 0.1, 0.4, 0.6, 0.8 | ||