diff --git a/mastml/tests/unit_tests/old/test_domain.py b/mastml/tests/unit_tests/old/test_domain.py
deleted file mode 100644
index 277cd6b5..00000000
--- a/mastml/tests/unit_tests/old/test_domain.py
+++ /dev/null
@@ -1,39 +0,0 @@
-import unittest
-import os
-from mastml.datasets import LocalDatasets
-from mastml.domain import Domain
-from sklearn.model_selection import train_test_split
-
-import mastml
-try:
-    data_path = mastml.__path__._path[0]
-except:
-    data_path = mastml.__path__[0]
-
-class test_baseline(unittest.TestCase):
-    def test_mahalanobis(self):
-        target = 'E_regression'
-
-        extra_columns = ['Material compositions 1', 'Material compositions 2','Hop activation barrier']
-
-        d = LocalDatasets(file_path=data_path + '/data/diffusion_data_allfeatures.xlsx',
-                          target=target,
-                          extra_columns=extra_columns,
-                          group_column='Material compositions 1',
-                          testdata_columns=None,
-                          as_frame=True)
-
-        # Load the data with the load_data() method
-        data_dict = d.load_data()
-
-        # Let's assign each data object to its respective name
-        X = data_dict['X']
-        y = data_dict['y']
-        X_train, X_test, y_train, y_test = train_test_split(X, y, random_state=3)
-        domain = Domain()
-        domain.distance(X_train, X_test, 'mahalanobis')
-
-        return
-
-if __name__ == '__main__':
-    unittest.main()
\ No newline at end of file