TableĀ 5 The parameters of machine learning methods used for comparison.
Algorithms | Hyper-parameters | Value |
|---|---|---|
SVM | C | 1.0 |
Kernel | rbf | |
Gamma | scale | |
Degree | 6 | |
RF | Criterion | gini |
n_estimators | 100 | |
max_depth | 10 | |
min_samples_split | 60 | |
min_samples_leaf | 22 | |
XGBoost | learning_rate | 0.3 |
n_estimators | 100 | |
max_depth | 6 | |
min_child_weight | 1 | |
Regularization | lambda |