The only metric for which we could not easily obtain a competitive score was the FCD. This was surprising as the FCD is based on the SMILES representation which in our naive model was enforced to be similar to those in the training set, specifically in order to exploit the FCD. It is worth noting that using this simple model, we could beat all of the baselines except the LSTM model. The fact, that the simple AddCarbon model is useless in practice and still obtains good scores, casts some doubt if currently used metrics are sufficient to estimate performance.