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Candidate regressions included in super learner analysis of the RV144 data. Tuning parameters for random forest and regression trees were selected from a grid of eight possible combinations using 10-fold cross-validation.
| Algorithm | Tuning parameters |
|---|---|
| GLM | intercept only |
| GLM | main terms |
| Random forest | 10-fold CV |
| Regression tree | 10-fold CV |
