diff --git a/tests/test_pipeline.py b/tests/test_pipeline.py
index 84fc623b..34049670 100644
--- a/tests/test_pipeline.py
+++ b/tests/test_pipeline.py
@@ -17,7 +17,7 @@
 from sklearn.model_selection import GridSearchCV
 from sklearn.tree import DecisionTreeClassifier
 
-from molpipeline import ErrorFilter, Pipeline
+from molpipeline import ErrorFilter, FilterReinserter, Pipeline, PostPredictionWrapper
 from molpipeline.any2mol import AutoToMol, SmilesToMol
 from molpipeline.mol2any import MolToMorganFP, MolToRDKitPhysChem, MolToSmiles
 from molpipeline.mol2mol import (
@@ -384,16 +384,24 @@ def test_calibrated_classifier(self) -> None:
         smi2mol = SmilesToMol()
         mol2morgan = MolToMorganFP(radius=FP_RADIUS, n_bits=FP_SIZE)
         d_tree = DecisionTreeClassifier()
+        error_filter = ErrorFilter(filter_everything=True)
         s_pipeline = Pipeline(
             [
                 ("smi2mol", smi2mol),
                 ("morgan", mol2morgan),
+                ("error_filter", error_filter),
                 ("decision_tree", d_tree),
+                (
+                    "error_replacer",
+                    PostPredictionWrapper(
+                        FilterReinserter.from_error_filter(error_filter, None)
+                    ),
+                ),
             ]
         )
-        calibrated_pipeline = CalibratedClassifierCV(s_pipeline)
+        calibrated_pipeline = CalibratedClassifierCV(s_pipeline, cv=2)
         calibrated_pipeline.fit(TEST_SMILES, CONTAINS_OX)
-        predicted_value_array = s_pipeline.predict(TEST_SMILES)
+        predicted_value_array = calibrated_pipeline.predict(TEST_SMILES)
         for pred_val, true_val in zip(predicted_value_array, CONTAINS_OX):
             self.assertEqual(pred_val, true_val)