Table 2 Optimal model hyperparameters.

From: Predicting the compressive strength of high-performance concrete using an interpretable machine learning model

Model

Hyperparameter

FR_RF

n_estimators

max_depth

min_i_d

max_features

827

46

0

6

FR_AdaBoost

n_estimators

Learning_rate

loss

-

76

0.9

-

-

FR_XGBoost

n_estimators

max_bin

Learning_rate

n_estimators

86

60

0.27

5

FR_LightGBM

n_estimators

max_depth

max_bin

num_leaves

178

22

17

61

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