Table C3:

Candidate regressions included in super learner analysis of the RTS,S/AS01 data for estimation of iterated means. GLM = logistic regression; GAM = generalized additive model; GBM = gradient boosted machine. A variable selection was included in some candidate regression algorithms (third column). In some cases, variables were selected a-priori; in others, variables were selected based on their correlation with the outcome. Gradient boosted machine tuning parameters selected based on out-of-bag (OOB) error rate.

Algorithm	Tuning parameters	Covariates
GLM	main terms	all
GLM	intercept only	none
GLM	main terms	treatment
GLM	main terms	study site, treatment
GLM	two-way interactions	study site, treatment
Stepwise GLM	two-way interactions	five highest correlations
Forward stepwise GLM	main terms	all
GAM	main terms, df=3	five highest correlations
GAM	main terms, df=3	ten highest correlations
Random Forest	mtry=5,ntree=1000	all
GBM	OOB error rate	all