diff --git a/Project.toml b/Project.toml
index a6ff2ba..8a2bd8a 100644
--- a/Project.toml
+++ b/Project.toml
@@ -2,7 +2,7 @@ name = "MLJTransforms"
 uuid = "23777cdb-d90c-4eb0-a694-7c2b83d5c1d6"
 authors = ["Essam <essamwisam@outlook.com> and contributors"]
 
-version = "0.1.4"
+version = "0.1.5"
 
 [deps]
 BitBasis = "50ba71b6-fa0f-514d-ae9a-0916efc90dcf"
diff --git a/src/transformers/other_transformers/one_hot_encoder.jl b/src/transformers/other_transformers/one_hot_encoder.jl
index 10ef2e7..748f95d 100644
--- a/src/transformers/other_transformers/one_hot_encoder.jl
+++ b/src/transformers/other_transformers/one_hot_encoder.jl
@@ -214,8 +214,8 @@ Train the machine using `fit!(mach, rows=...)`.
   (`ignore=true`). This default behavior can be modified by the
   `ordered_factor` flag.
 
-- `ordered_factor=false`: when `true`, `OrderedFactor` features are
-  universally excluded
+- `ordered_factor=true`: when `false`, `OrderedFactor` features are
+  left untouched.
 
 - `drop_last=false`: whether to drop the column corresponding to the
   final class of encoded features. For example, a three-class feature