This is mainly based on a linear model which includes all pairwise interactions, with a few adjustments:
also accounts for number of sweet dishes (AEGH) - too many or too few is bad
also accounts for number of spicy dishes (CFKSV) - too many or too few is bad
also accounts for total number of dishes—too many or too few is bad
I made the linear interaction sparse, rounding small coefficients to zero
Displacer Dumplings seem to be irrelevant to meal quality, so I’m averaging in the same meal with or without D (but picking whichever one happened to do better)
I slightly averaged in a couple other models that I tried which aren’t as accurate on their own as the linear interaction model
I haven’t been able to reduce the error all the way down to where it seems to be among repeat meals, but it’s not that far off.
My opinion on other entries
I would attend James Camacho’s AGORTV feast if I wasn’t hosting my own
Updated choice
I’ll go with ABDMOPV.
My second choice would be FGHOPTV.
My process
This is mainly based on a linear model which includes all pairwise interactions, with a few adjustments:
also accounts for number of sweet dishes (AEGH) - too many or too few is bad
also accounts for number of spicy dishes (CFKSV) - too many or too few is bad
also accounts for total number of dishes—too many or too few is bad
I made the linear interaction sparse, rounding small coefficients to zero
Displacer Dumplings seem to be irrelevant to meal quality, so I’m averaging in the same meal with or without D (but picking whichever one happened to do better)
I slightly averaged in a couple other models that I tried which aren’t as accurate on their own as the linear interaction model
I haven’t been able to reduce the error all the way down to where it seems to be among repeat meals, but it’s not that far off.
My opinion on other entries
I would attend James Camacho’s AGORTV feast if I wasn’t hosting my own