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Concept

Using Experience to Set a Target Error Rate

When a model is part of a user-facing product, experience with the product can help estimate what level of error is acceptable for a strong user experience. For an important system one has worked on for years, experience can also help judge how much improvement is realistically achievable over the next quarter or year, and that judgment can guide the target error rate.

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Updated 2026-08-12

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Machine Learning

Deep Learning

Supervised Learning

Dive into Deep Learning @ D2L

Data Science

Machine Learning Strategy

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