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Posted

I have a two-class classification problem. I would like to train a multivariate classifier 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?

Thank you!

Posted (edited)

do a logistic regression and pick a point along the ROC curve as you see fit (depending on what your precision/recall needs to be )

Edited by DMX

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