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I have a two-class classification problem with n-dimensional data. I would like to train a classifier (preferably but not necessarily linear) with 100% positive predictive value. In other words, I want the model to completely avoid one of the classes. For this application a low-ish sensitivity is OK as long as PPV is ~100%.
Do you have any suggestions of good techniques to use?