Table 2. Minimum and maximum value of each hyperparameter that was optimized for the random forest and gradient boosted tree learners.

Model	Hyperparameter	Lower value	Upper value
Random Forest	Number of estimators	50	100
	Maximum tree depth	5	50
	Maximum number of features	0	0.9
	Minimum samples per leaf	5	30
Gradient boosted trees	Eta	0.001	0.9
	Gamma	0	12
	Alpha	0	1
	Maximum tree depth	2	10
	Number of estimators	10	50