Interpretability is vital for machine learning models especially in chemical problems. In order to analyze the dominating factors that control DA cycloaddition, we removed one of the five descriptors (charge, Fukui+, Fukui-, NMR, TSEI) of 10 atoms in turn and calculated the decrease in accuracy. As the steric effect plays dominate role, the TSEI descriptor ranks the first in reactivity prediction (Figure ).