Parameter | Meaning |
n_estimators | Number of basic models |
max_depth | Maximum depth of decision tree |
learning_rate | Weight of the model generated by each iteration (learning rate) |
objective | Given loss function |
reg_alpha | Weight of L1 regular term |
reg_lambda | Weight of L2 regular term |