Table 2 Optimal XGBoost parameters after SA-GA optimization.

From: XGBoost algorithm optimized by simulated annealing genetic algrithm for permeability prediction modeling of carbonate reservoirs

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