The models in this work are capable of predicting retention times with adequate accuracy (MAE ≅ 30-40 seconds, see Tables ). The ability to train predictive models on datasets with noisy and erroneous data as well as advantages of combining the models, whose outputs are not entirely correlated (see Table ) were discussed in our previous article devoted to the filtering approach and works of other groups . Some testing was done to verify that the models are not significantly affected by up to 5% of highly erroneous entries .