What metrics is a good proxy for training deep learning model with an objective to maximize AUC? Is cross_entropy the best choice?

We can use roc_auc_score itself from `sklearn.metrics`

Don’t use accuracy…(that’s all I know…)

Have a look at this link

I know about sklearn but we cannot use auc as a training metric right? It’s not differentiable and how would we backprop it.

Didn’t see that you will use deep learning

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I don’t know if it’s appropriate in all situations, but you can try the Dice loss. This loss function is `1 - Dice coefficient`

, and the Dice coefficient is also known as the F1-score, which combines precision and recall into one number. It’s not exactly the same as the AUC but both try to maximize precision and recall.