diff --git a/docs/source/release_notes.rst b/docs/source/release_notes.rst
index a4166c5118..11df5750b1 100644
--- a/docs/source/release_notes.rst
+++ b/docs/source/release_notes.rst
@@ -10,6 +10,7 @@
         * Fixed ``get_pipelines`` to reset pipeline threshold for binary cases :pr:`3360`
     * Changes
         * Update maintainers :pr:`3365`
+        * Revert pandas 1.3.0 compatibility patch :pr:`3378`
     * Documentation Changes
         * Fixed documentation links to point to correct pages :pr:`3358`
     * Testing Changes
diff --git a/evalml/pipelines/components/estimators/estimator.py b/evalml/pipelines/components/estimators/estimator.py
index 8763ba2817..a1a078b530 100644
--- a/evalml/pipelines/components/estimators/estimator.py
+++ b/evalml/pipelines/components/estimators/estimator.py
@@ -2,7 +2,6 @@
 from abc import abstractmethod
 
 import pandas as pd
-from pandas.core.indexes import range
 
 from evalml.exceptions import MethodPropertyNotFoundError
 from evalml.model_family import ModelFamily
@@ -92,8 +91,6 @@ def predict(self, X):
         """
         try:
             X = infer_feature_types(X)
-            if isinstance(X.columns, range.RangeIndex):
-                X.columns = [x for x in X.columns]
             predictions = self._component_obj.predict(X)
         except AttributeError:
             raise MethodPropertyNotFoundError(