It quantifies the impact of each feature on model output, thereby being beneficial for understanding the decisions of complex models. The molecule contains aromatics, alkyl halides, methyl, and ether groups as ground truths from the dataset. Our model predicts all the labels accurately with a perfect match. Figure shows regions that influence the decision of the model toward predicting the presence of a given functional group (red) and regions which influence the decision of the model towards predicting the absence of the group (blue).