For comparison, in a recently published paper the Atalay group have used deep neural network and kernel ridge regression models and were able to predict the reorganization energy with a high precision compared to the DFT calculated values . In contrasts, while their data set consists of ring-fused conjugated molecules, which are mostly planer and rigid, out data set is made out of long, flexible, oligomeric chains. While they used similar molecular representation in their model, it does not capture any molecular deformation that happen upon a hole transfer. However, unlike the data set we have used here, their molecules present a minimal conformational difference between the neutral and cation species, which can explain the high accuracy and precision of their model. While our model is unable to predict the λ of all oligomers with low accuracy, we have shown that it can be used successfully as a screening tool to separate oligomers with low λ from the rest.