diff --git a/mlair/run_modules/pre_processing.py b/mlair/run_modules/pre_processing.py
index dfd121de3f231dd67e61611f21edd24a3ac2c932..fc1ae4b7ad63a51b623aacb3d846d33ca3a482e0 100644
--- a/mlair/run_modules/pre_processing.py
+++ b/mlair/run_modules/pre_processing.py
@@ -426,16 +426,6 @@ class PreProcessing(RunEnvironment):
                            "snapshot_load_path", "snapshot_path", "stations", "tmp_path", "train_model",
                            "transformation", "use_multiprocessing", ]
 
-        # excluded_params = ["batch_path", "batch_size", "block_length", "bootstrap_method", "bootstrap_path",
-        #                    "bootstrap_type", "competitor_path", "competitors", "create_new_bootstraps",
-        #                    "create_new_model", "create_snapshot", "data_collection", "debug_mode",
-        #                    "do_uncertainty_estimate", "early_stopping_epochs", "epochs", "evaluate_competitors",
-        #                    "evaluate_feature_importance", "experiment_name", "experiment_path", "forecast_path",
-        #                    "fraction_of_training", "hostname", "hpc_hosts", "log_level_stream", "logging_path",
-        #                    "login_nodes", "max_number_multiprocessing", "model_class", "model_path", "n_boots",
-        #                    "neighbors", "plot_list", "plot_path", "restore_best_model_weights", "snapshot_load_path",
-        #                    "snapshot_path", "stations", "tmp_path", "train_model", "transformation",
-        #                    "use_multiprocessing", ]
         data_handler = self.data_store.get("data_handler")
         model_class = self.data_store.get("model_class")
         excluded_params = list(set(excluded_params + data_handler.store_attributes() + model_class.requirements()))