This difference has a minimal impact on the input features of the ML model, leading to a slight bias in the predicted adsorption energy in a specific direction. However, due to the similarity between the two systems and the linear relationship in the DFT data, a model trained on the O dataset exhibits a higher PCC value when used to predict However, this is not always the case, as seen with AGRA CO and COOH datasets.