When lowering the failed score or excluding failed compounds, the improvement of recall suggests that the learning process is instead driven by the identification of good-scoring compounds to minimize the RMSE metric. Furthermore, the validation and test set RMSE values per iteration suggest that a failed score closer to the mean or dropping of the failed compounds in both cases overall improves the model (see Figure ).