diff --git a/R/hardhat.R b/R/hardhat.R
index 5f68d5c..be2aaf6 100644
--- a/R/hardhat.R
+++ b/R/hardhat.R
@@ -246,7 +246,7 @@ new_tabnet_fit <- function(fit, blueprint) {
 #'   * A __matrix__ of predictors.
 #'   * A __recipe__ specifying a set of preprocessing steps
 #'     created from [recipes::recipe()].
-#'   * A __Node__ where tree will be used as hierarchical outcome,
+#'   * A __Node__ where tree leaves will be left out,
 #'     and attributes will be used as predictors.
 #'
 #'  The predictor data should be standardized (e.g. centered or scaled).
diff --git a/man/tabnet_pretrain.Rd b/man/tabnet_pretrain.Rd
index 0d85757..7a861f8 100644
--- a/man/tabnet_pretrain.Rd
+++ b/man/tabnet_pretrain.Rd
@@ -55,7 +55,7 @@ tabnet_pretrain(x, ...)
 \item A \strong{matrix} of predictors.
 \item A \strong{recipe} specifying a set of preprocessing steps
 created from \code{\link[recipes:recipe]{recipes::recipe()}}.
-\item A \strong{Node} where tree will be used as hierarchical outcome,
+\item A \strong{Node} where tree leaves will be left out,
 and attributes will be used as predictors.
 }