Incorporating Opposing Alliance Information in CCWM Calculations

[AGPapa]

Originally Posted by Ed Law

This is a very cool way of looking at it. By putting it this way, EPR seems to be half way between OPR and WMPR.
Again, I like it because it is one number instead of two numbers. I like it because it has a better chance to predict outcome regardless of the game, rather than OPR being good for some games and WMPR being good for some other games.

WMPR (with a mean of the average score/3) is also just one number instead of two. And what game is WMPR bad for? Recycle Rush seems like it would be the worst game for WMPR, but it's comparable to OPR in predicting outcomes, if not slightly better.

And from my testing, the order of predictiveness goes WMPR>EPR>OPR. The only improvement EPR has over OPR is that it's half WMPR! Why not just go all the way and stick with WMPR?


Again, this is with using the training data as the testing data, if EPR is shown to be better when these are separate then perhaps we should use it instead.