We propose feature processing by log transformation not only to address the skewness of the dataset but also for better interpretability. While linear combinations of the precursor concentrations physically can be interpreted as balance equations, linear combination of the logarithms of precursor concentrations is closely related to kinetics (reaction rate) or thermodynamics (reaction quotient Q), hence likely to provide more insight into the mechanism.