diff --git a/proposals/ml_fit_class_random_forest.json b/proposals/ml_fit_class_random_forest.json
index e4f718ba..a8f361f4 100644
--- a/proposals/ml_fit_class_random_forest.json
+++ b/proposals/ml_fit_class_random_forest.json
@@ -9,7 +9,7 @@
     "parameters": [
         {
             "name": "training_set",
-            "description": "The training set for the Random Forest classification model, provided as a vector data cube. This set contains both the independent variables and dependent variable that the Random Forest algorithm analyzes to learn patterns and relationships within the data.",
+            "description": "The training set for the Random Forest classification model, provided as a vector data cube. This set contains both the independent variables and dependent variable that the Random Forest algorithm analyses to learn patterns and relationships within the data.",
             "schema": [
                 {
                     "type": "object",
diff --git a/proposals/ml_fit_regr_random_forest.json b/proposals/ml_fit_regr_random_forest.json
index dc774b01..1af510b0 100644
--- a/proposals/ml_fit_regr_random_forest.json
+++ b/proposals/ml_fit_regr_random_forest.json
@@ -9,7 +9,7 @@
     "parameters": [
         {
             "name": "training_set",
-            "description": "The training set for the Random Forest regression model, provided as a vector data cube. This set contains both the independent variables and dependent variable that the Random Forest algorithm analyzes to learn patterns and relationships within the data.",
+            "description": "The training set for the Random Forest regression model, provided as a vector data cube. This set contains both the independent variables and dependent variable that the Random Forest algorithm analyses to learn patterns and relationships within the data.",
             "schema": [
                 {
                     "type": "object",
diff --git a/tests/.words b/tests/.words
index a50285ba..86c5e340 100644
--- a/tests/.words
+++ b/tests/.words
@@ -47,3 +47,4 @@ Hyndman
 date1
 date2
 favor
+mlm-model