I have a dataset where I have several user realted variables, hour of day(0-23) and target is binary. I need to find the best hour of the day for each user. Hour of day is in our control and not distributed equally.

Apart from aggregating the records, I'm building a binary classifier and for each user. I'm calculating scores for each hour and selecting best hour.

Is there any other efficient method to optimize this?

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