Dalmau et al. automate non-linear ML workflows for tiny chemical datasets. With robust hyperparameter tuning and an overfitting-aware metric, random forests, gradient boosting, and NNs rival or surpass linear regression, expanding chemists’ low-data modeling toolbox. pubs.rsc.org/en/Content/A...

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