R help - Dec 2015 - Binary Classification / Logistic Regression Models - Metrics

Hi All,

For Binary Classification / Logistic Regression Models, Is there a specific
preference or standard of what metric to be used for comparison of 2 models,
especially when the model types are different - e.g logistic regression vs svd
vs gbm vs neural networks?

As I understand AUC is the one used most frequently. Is there some documentation
that compares these from a practical standpoint?

Thanks,
Manish
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