diff --git a/orangecontrib/timeseries/tests/test_timeseries.py b/orangecontrib/timeseries/tests/test_timeseries.py
index 926c9b6..d4905a6 100644
--- a/orangecontrib/timeseries/tests/test_timeseries.py
+++ b/orangecontrib/timeseries/tests/test_timeseries.py
@@ -4,7 +4,11 @@
 import platform
 from unittest.mock import patch
 
-from Orange.data import Table
+from Orange.data import Table, ContinuousVariable, Domain, TimeVariable, \
+    DiscreteVariable
+from Orange.classification import TreeLearner, KNNLearner
+from Orange.ensembles import StackedFitter
+from Orange.evaluation import CrossValidation, MSE
 
 from orangecontrib.timeseries import Timeseries
 from orangecontrib.timeseries.functions import timestamp, fromtimestamp
@@ -19,7 +23,8 @@ def test_create_time_variable(self):
         self.assertNotEqual(id_1, id(time_series.attributes))
 
     def test_make_timeseries_from_continuous_var(self):
-        table = Table.from_url("http://file.biolab.si/datasets/slovenian-national-assembly-eng.tab")
+        table = Table.from_url(
+            "http://file.biolab.si/datasets/slovenian-national-assembly-eng.tab")
         time_series = Timeseries.make_timeseries_from_continuous_var(table,
                                                                      'date of birth')
         self.assertEqual(time_series.time_variable.name, 'date of birth')
@@ -29,7 +34,7 @@ def test_time_var_removed(self):
         ts_with_tv = Timeseries.from_file('airpassengers')
         # select columns without time variable
         ts_without_tv = Timeseries.from_data_table(ts_with_tv[:,
-                                      ts_with_tv.domain.class_var])
+                                                   ts_with_tv.domain.class_var])
         self.assertTrue(ts_with_tv.time_variable)
         # make sure the Timeseries without time variable in domain has
         # time_variable set to None
@@ -66,6 +71,7 @@ def test_timestamp_windows(self):
         with hardcoded correct timestamps. It can be only tested with UTC
         since otherwise timestamp would be machine local time dependent
         """
+
         class T(datetime):
             def timestamp(self):
                 nonlocal was_hit
@@ -102,6 +108,28 @@ def fromtimestamp(cls, *args, **kwargs):
             self.assertEqual(fromtimestamp(TS, tz=timezone.utc), expected)
             self.assertTrue(was_hit)
 
+    def test_stacking(self):
+        domain = Domain([TimeVariable("a"), ContinuousVariable("b"),
+                         ContinuousVariable("c")],
+                        class_vars=DiscreteVariable("cls", values=["1", "0"]))
+        ts = Table.from_numpy(domain, [(585167768, 0.88224325, 0.87219962),
+                                       (1402820096, 0.30777631, 0.44907067),
+                                       (899898806, 0.79237373, 0.42574664),
+                                       (1270258083, 0.99060523, 0.05312487),
+                                       (393049941, 0.41741731, 0.36743904),
+                                       (701125886, 0.77428077, 0.12416262),
+                                       (18750041, 0.91150353, 0.80794697),
+                                       (815292377, 0.99979289, 0.82930241),
+                                       (161861359, 0.06679552, 0.70782449),
+                                       (408412451, 0.37535755, 0.94807882)],
+                              [1, 1, 1, 1, 1, 0, 0, 0, 0, 0])
+        sf = StackedFitter([TreeLearner(), KNNLearner()])
+        cv = CrossValidation(k=3, random_state=0)
+        results = cv(ts, [sf, KNNLearner(), TreeLearner()])
+        mse = MSE()(results)
+        self.assertLess(mse[0], mse[1])
+        self.assertLess(mse[0], mse[2])
+
 
 if __name__ == "__main__":
     unittest.main()