diff --git a/README.md b/README.md
index 881895c9a..1c75652be 100644
--- a/README.md
+++ b/README.md
@@ -63,6 +63,7 @@ Please find the complete documentation on the [freqtrade website](https://www.fr
 - [x] **Dry-run**: Run the bot without paying money.
 - [x] **Backtesting**: Run a simulation of your buy/sell strategy.
 - [x] **Strategy Optimization by machine learning**: Use machine learning to optimize your buy/sell strategy parameters with real exchange data.
+- [X] **Adaptive prediction modeling**: Build a smart strategy with FreqAI that self-trains to the market via adaptive machine learning methods. [Learn more](https://www.freqtrade.io/en/stable/freqai/)
 - [x] **Edge position sizing** Calculate your win rate, risk reward ratio, the best stoploss and adjust your position size before taking a position for each specific market. [Learn more](https://www.freqtrade.io/en/stable/edge/).
 - [x] **Whitelist crypto-currencies**: Select which crypto-currency you want to trade or use dynamic whitelists.
 - [x] **Blacklist crypto-currencies**: Select which crypto-currency you want to avoid.
diff --git a/tests/freqai/conftest.py b/tests/freqai/conftest.py
index f4af2c4a5..549ba2663 100644
--- a/tests/freqai/conftest.py
+++ b/tests/freqai/conftest.py
@@ -44,7 +44,7 @@ def freqai_conf(default_conf):
                     "indicator_periods_candles": [10],
                 },
                 "data_split_parameters": {"test_size": 0.33, "random_state": 1},
-                "model_training_parameters": {"n_estimators": 100},
+                "model_training_parameters": {"n_estimators": 100, "verbosity": 0},
             },
             "config_files": [Path('config_examples', 'config_freqai_futures.example.json')]
         }
diff --git a/tests/freqai/test_freqai_interface.py b/tests/freqai/test_freqai_interface.py
index 78f748f6a..9219baee3 100644
--- a/tests/freqai/test_freqai_interface.py
+++ b/tests/freqai/test_freqai_interface.py
@@ -9,13 +9,10 @@ from unittest.mock import MagicMock
 from freqtrade.configuration import TimeRange
 from freqtrade.data.dataprovider import DataProvider
 from freqtrade.freqai.data_kitchen import FreqaiDataKitchen
-from tests.conftest import get_patched_exchange, log_has
+from tests.conftest import get_patched_exchange, log_has_re
 from tests.freqai.conftest import freqai_conf, get_patched_freqai_strategy
 
 
-# import pytest
-
-
 def test_train_model_in_series_LightGBM(mocker, default_conf):
     freqaiconf = freqai_conf(copy.deepcopy(default_conf))
     freqaiconf.update({"timerange": "20180110-20180130"})
@@ -175,8 +172,9 @@ def test_start_backtesting_from_existing_folder(mocker, default_conf, caplog):
 
     df = freqai.dk.use_strategy_to_populate_indicators(strategy, corr_df, base_df, "LTC/BTC")
     freqai.start_backtesting(df, metadata, freqai.dk)
-    assert log_has(
-        "Found model at user_data/models/uniqe-id100/sub-train-ADA1517097600/cb_ada_1517097600",
+
+    assert log_has_re(
+        "Found model at ",
         caplog,
     )