Table 1.

Selected hyperparameters for different outcome variables

Hyper parameters	Desflurane	Electricity	Beef
Number of trees	2000	2000	2000
Interaction depth	3	3	8
Observation in terminal nodes	5	2	10
Shrinkage rate	0.01	0.1	0.1
Subsampling	0.8	0.8	0.8
CV folds	5	5	8
Best MSE	1.32	0.25	0.21
Model performance as assessed by R2 from
Training data	0.84	1.00	0.95
Cross-validation in training data	0.30	0.81	0.79
Test data**	0.51	0.82	0.82

Notes: *Analysis data was divided into 70% training and 30% test datasets.

^**Test data R2 is typically the most generalizable measure of performance.