diff --git a/R/performance_roc.R b/R/performance_roc.R
index 8a22bfb6c..ef10cc56c 100644
--- a/R/performance_roc.R
+++ b/R/performance_roc.R
@@ -9,7 +9,7 @@
 #' classified by the model as having a higher probability of being "condition 1" than
 #' a randomly chosen "condition 2" observation.
 #'
-#' Applying `as.data.frame()` to the ouput returns a data frame containing the following:
+#' Applying `as.data.frame()` to the output returns a data frame containing the following:
 #' - `Sensitivity` (that actually corresponds to `1 - Specificity`): It is the False Positive Rate.
 #' - `Sensitivity`: It is the True Positive Rate, which is the proportion of correctly classified "condition 1" observations.
 #'
diff --git a/man/performance_roc.Rd b/man/performance_roc.Rd
index ac6501015..42a8cc8f7 100644
--- a/man/performance_roc.Rd
+++ b/man/performance_roc.Rd
@@ -34,7 +34,7 @@ to the probability that a randomly chosen observation of "condition 1" is correc
 classified by the model as having a higher probability of being "condition 1" than
 a randomly chosen "condition 2" observation.
 
-Applying \code{as.data.frame()} to the ouput returns a data frame containing the following:
+Applying \code{as.data.frame()} to the output returns a data frame containing the following:
 \itemize{
 \item \code{Sensitivity} (that actually corresponds to \code{1 - Specificity}): It is the False Positive Rate.
 \item \code{Sensitivity}: It is the True Positive Rate, which is the proportion of correctly classified "condition 1" observations.