diff --git a/code/bolsonaro/models/similarity_forest_regressor.py b/code/bolsonaro/models/similarity_forest_regressor.py
index 8f02daf0200e55a9021a44ab70cdef8a6fd2f935..647e8695da88c0f84817a602471fd90f9bd1f1b0 100644
--- a/code/bolsonaro/models/similarity_forest_regressor.py
+++ b/code/bolsonaro/models/similarity_forest_regressor.py
@@ -38,12 +38,12 @@ class SimilarityForestRegressor(BaseEstimator, metaclass=ABCMeta):
                 val_scores.append(tree.predict(X_val))
             tree_pred_bar.update(1)
 
-        with tqdm(range(self._extracted_forest_size), disable=False) as pruning_forest_bar:
+        with tqdm(range(self._extracted_forest_size), disable=True) as pruning_forest_bar:
             pruning_forest_bar.set_description(f'[Pruning forest s={self._extracted_forest_size}]')
             for i in pruning_forest_bar:
                 best_similarity = 100000
                 found_index = 0
-                with tqdm(range(len(tree_list)), disable=False) as tree_list_bar:
+                with tqdm(range(len(tree_list)), disable=True) as tree_list_bar:
                     tree_list_bar.set_description(f'[Tree selection s={self._extracted_forest_size} #{i}]')
                     for j in tree_list_bar:
                         lonely_tree = tree_list[j]