Table 4 Optimal hyperparameters for machine learning models for crop suggestion.
Model | Hyperparameters |
|---|---|
ETC | min_samples_split=2, max_depth=6, n_estimators=7, random_state=0 |
MLP | max_iter=100, hidden_layer_sizes=10, random_state=0 |
RF | max_depth=9, n_estimators=2, min_samples_split=9 |
DT | max_depth=4, min_samples_leaf=4, Criterion=’entropy’, min_samples_split=70, random_state=0 |
LR | solver=’lbfgs’, multi_class=’auto’, random_state=0, C=1.0, max_iter=10 |
XGB | random_state=0, n_estimators=6, max_depth=2, learning_rate=0.1 |
