For stat = "acc", it would probably make sense to assume a normal distribution as the sampling distribution for a transformed estimator (transformed from the interval $(0, 1)$ to $(-\infty, \infty)$, similarly to stat = "mse" and stat = "rmse" where the estimators are transformed from $(0, \infty)$ to $(-\infty, \infty)$ in #496), see the discussion at #496 (comment).
Note that stat = "R2" is not concerned by this as it may get negative, see #496 (comment).
For$(0, 1)$ to $(-\infty, \infty)$ , similarly to $(0, \infty)$ to $(-\infty, \infty)$ in #496), see the discussion at #496 (comment).
stat = "acc", it would probably make sense to assume a normal distribution as the sampling distribution for a transformed estimator (transformed from the intervalstat = "mse"andstat = "rmse"where the estimators are transformed fromNote that
stat = "R2"is not concerned by this as it may get negative, see #496 (comment).