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I am just learning about machine learning (no pun intended). I have used xgboost's objective function binary:logistic to find probabilities from labels of 0s and 1s. Is there some way to guide the objective function to maximize a sum instead of decreasing error based upon the label? If each label has a corresponding value I'd like this number to be as high as possible. Error be damned. I still want to know the probability from binary:logistic, I just want it to give me the probability associated with the highest sum.

Any guidance is much appreciated.

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