In order to comprehend the connection between features and odor, we also performed a saliency analysis on the deep learning model. A significant limitation of our study is that it is restricted to only 2,606 molecules; a larger dataset could provide deeper insights into the relationship between odor features. Also, advanced methods could be tried for multi-modal classification and fusion, for we used only baseline models and a feature concatenation method. The results of this comprehensive and systematic study have the potential to guide the development of the electric nose.