diff --git a/doc/user/methods/decision_tree.md b/doc/user/methods/decision_tree.md
index 5e4dca6011..ec1070f17e 100644
--- a/doc/user/methods/decision_tree.md
+++ b/doc/user/methods/decision_tree.md
@@ -181,8 +181,8 @@ to make class predictions for new data.  Defaults and types are detailed in the
  * `tree.Classify(data, predictions)`
     - ***(Multi-point)***
     - Classify a set of points.
-    - The predicted classes of each point is stored in `predictions`, which is
-      set to length `data.n_cols`.
+    - The predicted class of each point is stored in `predictions`, which is set
+      to length `data.n_cols`.
     - The prediction for data point `i` can be accessed with `predictions[i]`.
 
 ---
@@ -190,8 +190,8 @@ to make class predictions for new data.  Defaults and types are detailed in the
  * `tree.Classify(data, predictions, probabilities)`
     - ***(Multi-point)***
     - Classify a set of points and compute class probabilities for each point.
-    - The predicted classes of each point is stored in `predictions`, which is
-      set to length `data.n_cols`.
+    - The predicted class of each point is stored in `predictions`, which is set
+      to length `data.n_cols`.
     - The prediction for data point `i` can be accessed with `predictions[i]`.
     - The class probabilities for each point are stored in `probabilities`,
       which is set to size `numClasses` by `data.n_cols`.
diff --git a/doc/user/methods/random_forest.md b/doc/user/methods/random_forest.md
index 110b392b6a..27343d3938 100644
--- a/doc/user/methods/random_forest.md
+++ b/doc/user/methods/random_forest.md
@@ -233,8 +233,8 @@ to make class predictions for new data.  Defaults and types are detailed in the
  * `rf.Classify(data, predictions)`
     - ***(Multi-point)***
     - Classify a set of points.
-    - The predicted classes of each point is stored in `predictions`, which is
-      set to length `data.n_cols`.
+    - The predicted class of each point is stored in `predictions`, which is set
+      to length `data.n_cols`.
     - The prediction for data point `i` can be accessed with `predictions[i]`.
 
 ---
@@ -242,8 +242,8 @@ to make class predictions for new data.  Defaults and types are detailed in the
  * `rf.Classify(data, predictions, probabilities)`
     - ***(Multi-point)***
     - Classify a set of points and compute class probabilities for each point.
-    - The predicted classes of each point is stored in `predictions`, which is
-      set to length `data.n_cols`.
+    - The predicted class of each point is stored in `predictions`, which is set
+      to length `data.n_cols`.
     - The prediction for data point `i` can be accessed with `predictions[i]`.
     - The class probabilities for each point are stored in `probabilities`,
       which is set to size `numClasses` by `data.n_cols`.