diff --git a/tests/freqai/test_freqai_interface.py b/tests/freqai/test_freqai_interface.py
index e812dd47e..d6e67caeb 100644
--- a/tests/freqai/test_freqai_interface.py
+++ b/tests/freqai/test_freqai_interface.py
@@ -1,11 +1,13 @@
 # from unittest.mock import MagicMock
 # from freqtrade.commands.optimize_commands import setup_optimize_configuration, start_edge
 import copy
-# import platform
+import platform
 import shutil
 from pathlib import Path
 from unittest.mock import MagicMock
 
+import pytest
+
 from freqtrade.configuration import TimeRange
 from freqtrade.data.dataprovider import DataProvider
 from freqtrade.freqai.data_kitchen import FreqaiDataKitchen
@@ -58,52 +60,53 @@ def test_train_model_in_series_LightGBM(mocker, default_conf):
     shutil.rmtree(Path(freqai.dk.full_path))
 
 
-# FIXME: hits segfault
-# @pytest.mark.skipif("arm" in platform.uname()[-1], reason="no ARM..")
-# def test_train_model_in_series_Catboost(mocker, default_conf):
-#     freqaiconf = freqai_conf(copy.deepcopy(default_conf))
-#     freqaiconf.update({"timerange": "20180110-20180130"})
-#     freqaiconf.update({"freqaimodel": "CatboostPredictionModel"})
-#     strategy = get_patched_freqai_strategy(mocker, freqaiconf)
-#     exchange = get_patched_exchange(mocker, freqaiconf)
-#     strategy.dp = DataProvider(freqaiconf, exchange)
-#     strategy.freqai_info = freqaiconf.get("freqai", {})
-#     freqai = strategy.model.bridge
-#     freqai.live = True
-#     freqai.dk = FreqaiDataKitchen(freqaiconf, freqai.dd)
-#     timerange = TimeRange.parse_timerange("20180110-20180130")
-#     freqai.dk.load_all_pair_histories(timerange)
+@pytest.mark.skipif("arm" in platform.uname()[-1], reason="no ARM for Catboost ...")
+def test_train_model_in_series_Catboost(mocker, default_conf):
+    freqaiconf = freqai_conf(copy.deepcopy(default_conf))
+    freqaiconf.update({"timerange": "20180110-20180130"})
+    freqaiconf.update({"freqaimodel": "CatboostPredictionModel"})
+    del freqaiconf['freqai']['model_training_parameters']['verbosity']
+    strategy = get_patched_freqai_strategy(mocker, freqaiconf)
+    exchange = get_patched_exchange(mocker, freqaiconf)
+    strategy.dp = DataProvider(freqaiconf, exchange)
 
-#     freqai.dd.pair_dict = MagicMock()
+    strategy.freqai_info = freqaiconf.get("freqai", {})
+    freqai = strategy.freqai
+    freqai.live = True
+    freqai.dk = FreqaiDataKitchen(freqaiconf, freqai.dd)
+    timerange = TimeRange.parse_timerange("20180110-20180130")
+    freqai.dk.load_all_pair_histories(timerange)
 
-#     data_load_timerange = TimeRange.parse_timerange("20180110-20180130")
-#     new_timerange = TimeRange.parse_timerange("20180120-20180130")
+    freqai.dd.pair_dict = MagicMock()
 
-#     freqai.train_model_in_series(new_timerange, "ADA/BTC",
-#                                  strategy, freqai.dk, data_load_timerange)
+    data_load_timerange = TimeRange.parse_timerange("20180110-20180130")
+    new_timerange = TimeRange.parse_timerange("20180120-20180130")
 
-#     assert (
-#         Path(freqai.dk.data_path / str(freqai.dk.model_filename + "_model.joblib"))
-#         .resolve()
-#         .exists()
-#     )
-#     assert (
-#         Path(freqai.dk.data_path / str(freqai.dk.model_filename + "_metadata.json"))
-#         .resolve()
-#         .exists()
-#     )
-#     assert (
-#         Path(freqai.dk.data_path / str(freqai.dk.model_filename + "_trained_df.pkl"))
-#         .resolve()
-#         .exists()
-#     )
-#     assert (
-#         Path(freqai.dk.data_path / str(freqai.dk.model_filename + "_svm_model.joblib"))
-#         .resolve()
-#         .exists()
-#     )
+    freqai.train_model_in_series(new_timerange, "ADA/BTC",
+                                 strategy, freqai.dk, data_load_timerange)
 
-#     shutil.rmtree(Path(freqai.dk.full_path))
+    assert (
+        Path(freqai.dk.data_path / str(freqai.dk.model_filename + "_model.joblib"))
+        .resolve()
+        .exists()
+    )
+    assert (
+        Path(freqai.dk.data_path / str(freqai.dk.model_filename + "_metadata.json"))
+        .resolve()
+        .exists()
+    )
+    assert (
+        Path(freqai.dk.data_path / str(freqai.dk.model_filename + "_trained_df.pkl"))
+        .resolve()
+        .exists()
+    )
+    assert (
+        Path(freqai.dk.data_path / str(freqai.dk.model_filename + "_svm_model.joblib"))
+        .resolve()
+        .exists()
+    )
+
+    shutil.rmtree(Path(freqai.dk.full_path))
 
 
 def test_start_backtesting(mocker, default_conf):