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specificity

Measures of Predictive Models: Sensitivity and Specificity

by Karen Grace-Martin  5 Comments

Not too long ago, I was  in Syracuse for a family trip to the zoo. Syracuse is about 60 miles from where I live and it has a very nice little zoo.

This year was particularly exciting because a Trader Joe’s just opened in Syracuse.  We don’t have one where we live (sadly!)  so we always stock up on our favorite specialty groceries when we’re near a Trader Joe’s.

On this particular trip, though, we had an unwelcome surprise.  My credit card card company believed my Trader Joe’s spree was fraudulent and declined the transaction.  I got a notice on my phone and was able to fix it right away, so it wasn’t the big inconvenience it could have been.

But this led us to wonder what it was about the transaction that led the bank to believe it was fraudulent.  Do credit card thieves often skip town and go grocery shopping?

The bank was clearly betting so.  It must have a model for aspects of a transaction that are likely enough to be fraudulent that it shuts it down.  [Read more…] about Measures of Predictive Models: Sensitivity and Specificity

Tagged With: logistic regression, model accuracy, ROC Curve, sensitivity, specificity

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