Table 3 The optimal parameter values of the model(FS).
Model | Parameter | Definition | Value |
|---|---|---|---|
KNN | n_neighbors | Number of nearest neighbors | 6 |
RF | n_estimators | Number of decision trees | 229 |
max_depth | Maximum depth of each decision tree | 18 | |
max_features | Maximum number of features | 6 | |
XGB | n_estimators | Number of decision trees | 13 |
min_child_weight | Minimum sum of instance weight | 4 | |
max_depth | Maximum depth of each decision tree | 9 | |
reg_alpha | Penalty coefficient of L1 Regularization | 0.5 |
