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. 2023 Feb 20;14:1072273. doi: 10.3389/fphys.2023.1072273

TABLE 1.

Hyperparameter settings of LightGBM used for the Bayesian optimization.

Parameters Search space
learning_rate (1e-8, 1.0,'log-uniform')
lambda_l1 (1e-8, 1.0,'log-uniform')
lambda_l2 (1e-6, 1.0,'log-uniform')
bagging_fraction (0.3, 1.0,'uniform')
feature_fraction (0.3, 1.0,'uniform')
bagging_freq (2, 10,'int')
min_child_samples (1, 50,'int')
max_depth (2, 20,'int')
num_leaves (2, 1024,'int’, step = 2)
n_estimators (100, 4000,'int’, step = 5)