Naturally, these transition coefficient-related issues also affect the performances of the oscilla-tor strength models. Considering that the mean value of 𝑓 Osc (𝑆 1 ) is 0.16 inside the training set, the respective model's MAE of 0.05 is sufficiently low to make reliable predictions. This is supported by a coefficient of determination 𝑟 2 of 0.74. Note that while perfect model accuracy is of course always desirable, the goal of ML-assisted screening is to achieve a speed-up in identifying which candidates might be interesting for a more detailed follow-up examination, rather than replacing the follow-up examination.