Table 7 Superparameters and optimized parameters of XGboost model.

From: Prediction of the displacements of the pile tops and ground surface around piles based on machine learning algorithms

Type

Learning rate

Maximum depth

Min child weight

Subsample

Colsample

bytree

Number of parallel tree

Hyperparameters

0.05、0.1、0.15、

0.2、0.25、0.3

2、3、4、5、6、7

2、4、6

、8、10

0.3、0.4、

0.5、0.6、

0.7、0.8

0.2、0.4、

0.6、0.8、1.0

1、2、

3、4

Optimized parameters

0.1

5

6

0.5

0.8

1

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