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Additive Returns vs. Percent Returns

Hi all.
I was wondering which returns are preferable to work with, additive or percent?
I am tending to think that the percent returns are more of a normalized object and hence fit statistical inference and machine learning better, and that the additive returns have simpler math. How do you use them and what are your considerations?