Based on parallel series of 2×5,000 switching trajectories created in this manner, the probability of (S0 → S1 → S0) relaxation to the S0-E state was scrutinized by committor analyses referring to the atomic coordinates of the model systems at the moment when switching the force field according to the S1 → S0 transition. For each of the geometric features investigated, occurrence profiles were sampled using 20 equidistant bins within the observed minimum and maximum values, respectively. On the basis of this discrimination, conditional committor probabilities are sampled and subjected to a sigmoid fit using a logistic regression classifier as implemented in Scikit-learn version 1.5.0. 80 Prior to model training, the feature sets were recentered and rescaled using the StandardScaler from the Scikit-learn library. No penalty was added to the logistic regression model.