dchalmer Posted September 17, 2013 Posted September 17, 2013 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!
DMX Posted September 17, 2013 Posted September 17, 2013 (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 September 17, 2013 by DMX
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