1) Consider the modeling as regression model and optimize the root mean squared error (RMSE) 2) Use QWK directly as error (loss) function Since the QWK loss function was not available in OCHEM we considered the classification problem as a regression model with numerical values 0, 1 and 2 for the respective classes and selected models with minimal RMSE, which is a traditional loss function for regression tasks.