diff --git a/DESCRIPTION b/DESCRIPTION
index 9eda0314..59a50c8a 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -57,4 +57,4 @@ RdMacros: mlr3misc
 Encoding: UTF-8
 NeedsCompilation: no
 Roxygen: list(markdown = TRUE, r6 = FALSE)
-RoxygenNote: 7.0.0
+RoxygenNote: 7.0.1
diff --git a/R/LearnerClassifXgboost.R b/R/LearnerClassifXgboost.R
index 9773b8d6..c7fdd864 100644
--- a/R/LearnerClassifXgboost.R
+++ b/R/LearnerClassifXgboost.R
@@ -15,6 +15,10 @@
 #' eXtreme Gradient Boosting classification.
 #' Calls [xgboost::xgb.train()] from package \CRANpkg{xgboost}.
 #'
+#' We changed the following defaults for this learner:
+#' * Verbosity is reduced by setting `verbose` to `0`.
+#' * Number of boosting iterations `nrounds` is set to `1`.
+#'
 #' @references
 #' \cite{mlr3learners}{chen_2016}
 #'
diff --git a/R/LearnerRegrGlmnet.R b/R/LearnerRegrGlmnet.R
index f3bd7ac8..6b6d528a 100644
--- a/R/LearnerRegrGlmnet.R
+++ b/R/LearnerRegrGlmnet.R
@@ -14,7 +14,8 @@
 #' @description
 #' Generalized linear models with elastic net regularization.
 #' Calls [glmnet::cv.glmnet()] from package \CRANpkg{glmnet}.
-#' Hyperparameter `family` is set to `"gaussian"`.
+#'
+#' The default for hyperparameter `family` is changed to `"gaussian"`.
 #'
 #' @references
 #' \cite{mlr3learners}{friedman_2010}
diff --git a/R/LearnerRegrXgboost.R b/R/LearnerRegrXgboost.R
index 6f9e5aa0..88398698 100644
--- a/R/LearnerRegrXgboost.R
+++ b/R/LearnerRegrXgboost.R
@@ -15,6 +15,10 @@
 #' eXtreme Gradient Boosting regression.
 #' Calls [xgboost::xgb.train()] from package \CRANpkg{xgboost}.
 #'
+#' We changed the following defaults for this learner:
+#' * Verbosity is reduced by setting `verbose` to `0`.
+#' * Number of boosting iterations `nrounds` is set to `1`.
+#'
 #' @references
 #' \cite{mlr3learners}{chen_2016}
 #'
diff --git a/man/LearnerClassifXgboost.Rd b/man/LearnerClassifXgboost.Rd
index db360e10..24fd5684 100644
--- a/man/LearnerClassifXgboost.Rd
+++ b/man/LearnerClassifXgboost.Rd
@@ -8,6 +8,12 @@
 \description{
 eXtreme Gradient Boosting classification.
 Calls \code{\link[xgboost:xgb.train]{xgboost::xgb.train()}} from package \CRANpkg{xgboost}.
+
+We changed the following defaults for this learner:
+\itemize{
+\item Verbosity is reduced by setting \code{verbose} to \code{0}.
+\item Number of boosting iterations \code{nrounds} is set to \code{1}.
+}
 }
 \section{Construction}{
 \preformatted{LearnerClassifXgboost$new()
diff --git a/man/LearnerRegrGlmnet.Rd b/man/LearnerRegrGlmnet.Rd
index 96c170f9..0cd653bd 100644
--- a/man/LearnerRegrGlmnet.Rd
+++ b/man/LearnerRegrGlmnet.Rd
@@ -8,7 +8,8 @@
 \description{
 Generalized linear models with elastic net regularization.
 Calls \code{\link[glmnet:cv.glmnet]{glmnet::cv.glmnet()}} from package \CRANpkg{glmnet}.
-Hyperparameter \code{family} is set to \code{"gaussian"}.
+
+The default for hyperparameter \code{family} is changed to \code{"gaussian"}.
 }
 \section{Construction}{
 \preformatted{LearnerRegrGlmnet$new()
diff --git a/man/LearnerRegrXgboost.Rd b/man/LearnerRegrXgboost.Rd
index ae7451dd..877f31cb 100644
--- a/man/LearnerRegrXgboost.Rd
+++ b/man/LearnerRegrXgboost.Rd
@@ -8,6 +8,12 @@
 \description{
 eXtreme Gradient Boosting regression.
 Calls \code{\link[xgboost:xgb.train]{xgboost::xgb.train()}} from package \CRANpkg{xgboost}.
+
+We changed the following defaults for this learner:
+\itemize{
+\item Verbosity is reduced by setting \code{verbose} to \code{0}.
+\item Number of boosting iterations \code{nrounds} is set to \code{1}.
+}
 }
 \section{Construction}{
 \preformatted{LearnerRegrXgboost$new()