The key parameters that appear in Eq. 3 are the normalized unitcell volume (5′) determined by XRD, the Pauling electronegativity of the A and B elements (RS ( and RS , , respectively), and the ionization energy of the B element (TR , ). The relevance of 5′ can be associated to the role of crystallographic distortions. Indeed, octahedral tilting induced by different cation sizes can alter the packing and the electronic structure of the perovskites and thus the bonding patterns. In particular, the balance between ionic and covalent bonding can change. These different bulk bonding patterns consequently translate into different surface reactivity. The relevance of TR , reflects the redox activity of the B species, as the B element acts as a redox-active element in oxidation reactions catalyzed by perovskites. Finally, the relevance of RS ( and RS , reflects the electronic properties of the catalyst, which modulates, for instance, the strength of adsorption of surface reactive species such as CO. The atomic fractions of A, B, and oxygen species in the bulk and on the surface were also offered as primary features, but they were not selected by SISSO as important parameters. This may imply that the density of surface redox-active sites is less important than their chemical nature for the considered materials set. Overall, the identified key parameters suggest that crystallographic distortions combined with the electronic properties of the catalyst encoded in the chemical nature of A and B elements are key for CO oxidation on the perovskites. The insights provided by our AI analysis reconcile the various, sometimes contradictory conclusions of previous studies and they stress that linear correlations are often not enough to describe heterogeneous catalysis. Moreover, Eq. 3 highlights that parameters characterizing atom packing and crystallographic distortions such as 5′ are required, in addition to physicochemical parameters associated to A and B, to correctly describe CO oxidation activity across a wide range of ABO3 perovskite compositions. The crucial impact of the mentioned distortions has been overlooked by previous works, but it was identified here via a systematic consideration of A and B elements, rigorous experiments, and AI.