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. 2022 Feb 15;10(2):e33063. doi: 10.2196/33063

Table 1.

Model hyperparameters.

Model	Hyperparameter	Value, n
Random forest	n_estimators	100
	min_samples_split	2
	min_samples_leaf	1
Decision tree	min_samples_split	2
Decision tree	min_samples_leaf	1
LDA^a	solver	lsqr
LDA^a	shrinkage	auto
AdaBoost^b	n_estimators	50
AdaBoost^b	learning_rate	1
XGBoost^c	objective	binary:logistic
XGBoost^c	learning_rate	0.0001
RGF^d	max_leaf	1000
	algorithm	RGF_Sib
	test_interval	100

^aLDA: linear discriminant analysis.

^bAdaBoost: adaptive boosting.

^cXGBoost: extreme gradient boosting.

^dRGF: regularized greedy forest.