Two independent RF machines were trained to predict the maximum oscillator strength, and the other RF machine was trained to predict the excitation energy coupled with the maximum oscillator strength. We utilized the RF method implemented in the Scikit-learn 0.21.3 library. The feature vector of a molecule consists of the extended connectivity fingerprints (ECFP), molecular access system (MACCS) keys, and various molecular descriptors provided by RDkit. The obtained feature vectors were used as the input of the RF models.