Caret settings to use `ROC` (AUC) in model tuning. Binary classification. Also some custom wrapper functions. NOTE: if a model does not compute class probabilities (returns class predictions only), use sensitivity or specificity (`Sens`, `Spec`); alternatively, use `Kappa` from with `summaryFunction = defaultSummary`.