Table 5 The optimal parameter values of the model(TS).
Model | Parameter | Definition | Value |
|---|---|---|---|
KNN | n_neighbors | Number of nearest neighbors | 2 |
RF | n_estimators | Number of decision trees | 9 |
max_depth | Maximum depth of each decision tree | 15 | |
XGB | n_estimators | Number of decision trees | 37 |
min_child_weight | Minimum sum of instance weight | 2 | |
max_depth | Maximum depth of each decision tree | 5 | |
gamma | Minimum amount of loss required for further branching | 0.3 | |
reg_alpha | Penalty coefficient of L1 regularization | 0.05 |
