Table 2 Optimal XGBoost parameters after SA-GA optimization.
Parameter name | Regression tree volume k | Learning rate η | Maximum regression depth max-depth | Regular term coefficient (math.) \(\lambda\) | Sum of minimum sample weights of leaves min-chile-weight | Minimum splitting gradient descent value \(\delta\) |
---|---|---|---|---|---|---|
Optimum value | 500 | 0.1 | 5 | 1.1 | 1.5 | 0 |