Regardless of the predictivity of the regressions, this work marls an important point for full correlation of complex kinetic rate coefficients with chemical structures and their basic physical properties. Machine-learning, even in its simple form of sets of regressions as used in here, has tremendous potential for simple, and readily available predictions of kinetic data. It should be noted hereby that the performed predictions occur within seconds, and can be easily implemented in kinetic modelling codes in the future.