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Your classifier outputs probabilities, but you need a decision. How do you pick the threshold (it's rarely 0.5)?

Defaulting to 0.5 is leaving money or safety on the table. The right cutoff comes from the cost of each error and the operating constraint, not the model. Here is how to set it deliberately.

Updated Aug 2026 · Grounded in real Applied AI Engineer interview loops and written to a senior-engineer editorial bar.

Defaulting to 0.5 is leaving money or safety on the table. The right cutoff comes from the cost of each error and the operating constraint, not the model. Here is how to set it deliberately.

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