Solved – Balancing precision and recall in a neural network

When designing a neural network, are there architectures that can be used to favor precision vs. recall and vice versa?

The best way is to use ROC curve to find the optimal point, you can change the output threshold and get TP Rate , FP rate and plot ROC curve.

From ROC curve, you can get the optimal threshold value, to have the result you want.

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