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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).
The text was updated successfully, but these errors were encountered:
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).The text was updated successfully, but these errors were encountered: