Some predictive model methods have various tuning parameters or options that can be changed (Lasso, Ridge, ElasticNet, Neural, and XGBoost to name a few) and it would be nice to add multiple variants of each model method to see which method AND model parameters would give the best model. Also check with Russ Wolfinger on this. Something that was also well done in JMP Genomics Model Review capabilities.