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I have a binary and balanced dataset.
Do I have to see the AUROC as the different trade-offs between the TPR and the FPR and the accuracy as a result with a threshold of 0.5?
When is accuracy a better metric than AUROC?
AUROC helps you to determine what threshold you must choose for your model. That will depend on the impact of errors, both FP and FN, in your problem.
You need to understand how your model is going to be used and the implications of the deployment strategy you choose.
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