feat: add run_name to TrainModelResult for enhanced tracking

- Introduced run_name parameter in TrainModelResult to improve identification of training runs based on model type, name, and experiment run ID.

model_manager/utils/repository/data_manager_repository.py

@@ -200,7 +200,9 @@ class DataManagerRepository(SientiaMonitoring):
             metadata,
         )
 
-        return TrainModelResult(params=params, train_data=train_data, val_data=val_data)
+        run_name = f'train_model_{params.model_type}_{params.model_name}_{params.experiment_run_id}'
+
+        return TrainModelResult(params=params, train_data=train_data, val_data=val_data, run_name=run_name)
 
     def _as_series(self, pred: pd.DataFrame | pd.Series) -> pd.Series:
         if isinstance(pred, pd.Series):