“…This is oftentimes neglected, because training is much more expensive, i.e., requiring multiple fits with different models. Swischuk et al (2019), Chowdhary et al (2021), andPenwarden et al (2021) are among few authors addressing this problem, and even fewer provide automated ML tools and software to implement methodologies such as tesuract (Chowdhary 2022). Furthermore, hyperparameter tuning can sometimes reveal surprising results-taking existing approaches like multivariate polynomial regression and showing that, in some cases, it can be competitive with or even better than state-of-the-art approaches like neural networks (Chowdhary 2022).…”