Therefore, three electronic molecular properties and a structural one were the input features for the ML regressions of the target feature, the impact sensitivity ℎ .# (cm). We found that the electron delocalization of the ring atoms, given by ∑ 𝑄 ' (𝐶), is a significant contribution to the predicted ℎ .# with a weight computed as the average of the four ML algorithms equal to 39%. The importance of this molecular electronic property agrees with previous results and our own, but this is the first time that its contribution has been quantified. The other contributing property with a similar average weight (35%) is the polarization of the nitro group, given by its total dipole ∑ 𝑄 * (𝑁𝑂 ' ) value, a result not found before. The other two examined properties, the charge (∑ 𝑄 # (𝑁𝑂 ' )) and the number (#𝑁𝑂 ' ) of the nitro groups, had average weights of 16% and 10% respectively.