I have a Bayesian model almost completely overlapping my ideal model in the Lift chart. It indicates 100% of the target population captured but with 0% prediction probability. Basically it rises quickly and that plateau's at 100% following the ideal
model. Do I have something wrong in the problem setup?
If I understand this correctly, this is either a major error on my part or the model completely describes my target population with almost complete likelihood of being wrong?
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