diff --git a/src/concrete/ml/onnx/onnx_impl_utils.py b/src/concrete/ml/onnx/onnx_impl_utils.py
index 748700cf6..0f9653704 100644
--- a/src/concrete/ml/onnx/onnx_impl_utils.py
+++ b/src/concrete/ml/onnx/onnx_impl_utils.py
@@ -244,7 +244,8 @@ def rounded_comparison(
     """
 
     assert isinstance(_auto_rounder, AutoRounder)
-    half = 1 << (_auto_rounder.lsbs_to_remove - 1) if _auto_rounder.is_adjusted else 0
+
+    half = 1 << (_auto_rounder.lsbs_to_remove - 1) if _auto_rounder.lsbs_to_remove > 0 else 0
     rounded_subtraction = round_bit_pattern((x - y) - half, lsbs_to_remove=_auto_rounder)
 
     return (operation(rounded_subtraction),)
diff --git a/tests/sklearn/test_sklearn_models.py b/tests/sklearn/test_sklearn_models.py
index a50376e04..33cfb7b34 100644
--- a/tests/sklearn/test_sklearn_models.py
+++ b/tests/sklearn/test_sklearn_models.py
@@ -107,11 +107,11 @@
 def get_dataset(model_class, parameters, n_bits, load_data, is_weekly_option):
     """Prepare the the (x, y) data-set."""
 
-    # if not is_model_class_in_a_list(
-    #     model_class, _get_sklearn_linear_models() + _get_sklearn_neighbors_models()
-    # ):
-    #     if n_bits in N_BITS_WEEKLY_ONLY_BUILDS and not is_weekly_option:
-    #         pytest.skip("Skipping some tests in non-weekly builds")
+    if not is_model_class_in_a_list(
+        model_class, _get_sklearn_linear_models() + _get_sklearn_neighbors_models()
+    ):
+        if n_bits in N_BITS_WEEKLY_ONLY_BUILDS and not is_weekly_option:
+            pytest.skip("Skipping some tests in non-weekly builds")
 
     # Get the data-set. The data generation is seeded in load_data.
     x, y = load_data(model_class, **parameters)