diff --git a/code/bolsonaro/models/omp_forest.py b/code/bolsonaro/models/omp_forest.py
index 35c2f8fa0e46e2c87a76be438a9968665e7f5b29..68b394775007946cf6259a8e259c12758012da31 100644
--- a/code/bolsonaro/models/omp_forest.py
+++ b/code/bolsonaro/models/omp_forest.py
@@ -134,7 +134,7 @@ class SingleOmpForest(OmpForest):
         Make all the base tree predictions
 
         :param X: a Forest
-        :return: a np.array of the predictions of the entire forest
+        :return: a np.array of the predictions of the trees selected by OMP without applyong the weight
         """
         forest_predictions = np.array([tree.predict(X) for tree in self._base_forest_estimator.estimators_])
 
diff --git a/code/compute_results.py b/code/compute_results.py
index 5f7fac2c7718cf887d3d83a5b3a7eb9cdebfb9d9..4ad36865185b335cb7fac64997939291ae839620 100644
--- a/code/compute_results.py
+++ b/code/compute_results.py
@@ -365,10 +365,12 @@ if __name__ == "__main__":
             omp_with_params_experiment_score_metric = extract_scores_across_seeds_and_extracted_forest_sizes(
                 args.models_dir, args.results_dir, args.experiment_ids[2])
         #omp_with_params_without_weights
-        logger.info('Loading omp_with_params experiment scores...')
+        logger.info('Loading omp_no_weights experiment scores...')
         omp_with_params_without_weights_train_scores, omp_with_params_without_weights_dev_scores, omp_with_params_without_weights_test_scores, _, \
             omp_with_params_experiment_score_metric = extract_scores_across_seeds_and_extracted_forest_sizes(
                 args.models_dir, args.results_dir, args.experiment_ids[2], weights=False)
+            
+        print(omp_with_params_without_weights_test_scores)
 
         """# base_with_params
         logger.info('Loading base_with_params experiment scores 2...')