Table 4 Key hyperparameters for ML models.

From: Explainable automl and multi-objective optimization for sustainable high-performance geopolymer concrete

ML model

Hyperparameters

RF

max_depth = 5

max_features = 7

n_estimators = 115

XGBoost

Colsample_bytree = 0.41

learning_rate = 0.28

max_depth = 2

n_estimators = 260

LightGBM

bagging_fraction = 0.71

feature_fraction = 0.73

learning_rate = 0.32

max_depth = 13

num_leaves = 290

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