diff --git a/flaml/automl/model.py b/flaml/automl/model.py
index 8ddb4b2501..c5276e1572 100644
--- a/flaml/automl/model.py
+++ b/flaml/automl/model.py
@@ -2032,6 +2032,9 @@ def config2params(self, config: dict) -> dict:
 
     def __init__(self, task="binary", **config):
         super().__init__(task, **config)
+        random_seed = self.params.pop("random_seed", config.get("random_seed", 10242048))
+        if "random_state" not in self.params:
+            self.params["random_state"] = random_seed
         assert self._task.is_classification(), "LogisticRegression for classification task only"
         self.estimator_class = LogisticRegression
 
diff --git a/test/automl/test_classification.py b/test/automl/test_classification.py
index 1ee22094fc..f847b4d4fc 100644
--- a/test/automl/test_classification.py
+++ b/test/automl/test_classification.py
@@ -432,7 +432,7 @@ def test_sparse_matrix_lr(self):
         "histgb",
         "kneighbor",
         "lgbm",
-        # "lrl1",
+        "lrl1",
         "lrl2",
         "rf",
         "sgd",
@@ -495,7 +495,7 @@ def test_reproducibility_of_classification_models(estimator: str):
         "histgb",
         "kneighbor",
         "lgbm",
-        # "lrl1",
+        "lrl1",
         "lrl2",
         "svc",
         "rf",