Regression - AIC/SBC Comparison

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TheBestMilk
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I'm not sure if this is the right place for this question, but it was on the comparison between different model's AIC/SBC values.

I ran a linear regression and got an AIC/SBC of .743/.768. When I ran the same regression in log-linear form I ended up with an AIC/SBC of -7.559/-7.534.

My textbook suggests that the smaller the value, the better the model, but it only compares positive values which seem to tend towards zero.

My question is this: should I be comparing the absolute values of these (so that the closet to zero is the best) or should I be looking at a strictly greater than scheme in which the more negative, the smaller, and therefore the better?

Thanks!
 
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Never mind. I figured out I could estimate the log-linear model in levels which would allow me a comparison that fits with the generic linear regression. I couldn't figure out how to delete the post. Thanks anyways!