Table 2 Tuned parameters using grid-search

From: Predicting perinatal mortality based on maternal health status and health insurance service using homogeneous ensemble machine learning methods

Algorithm	Parameter	Values
Gradient boost	Criterion	friedman_mse
	max_depth	15
	n_estimators	100
	Random_state	42
Random forest	Criterion	Entropy
	max_features	sqrt
	min_samples_split	3
	n_estimators	200
	random_state	0
	max_depth	20
	max_leaf_nodes	400
	n_jobs	− 1
Cat boost	Verbose	False
	eval_metric	AUC
	Iterations	500
	thread_count	None
	random_state	1.0

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