Table 1 The optimal parameter values of the model (CS).
Model | Parameter | Definition | Value |
|---|---|---|---|
KNN | n_neighbors | Number of nearest neighbors | 3 |
RF | n_estimators | Number of decision trees | 19 |
max_depth | Maximum depth of each decision tree | 15 | |
max_features | Maximum number of features | 8 | |
XGB | n_estimators | Number of decision trees | 64 |
min_child_weight | Minimum sum of instance weight | 6 | |
max_depth | Maximum depth of each decision tree | 8 | |
gamma | Minimum amount of loss required for further branching | 0.3 |
