Page Summary: Having a classifier with great metrics is good, but it is not enough for it to be useful in production. It is now well known that neural networks can be wrong with high confidence in their predictions, leading to poor
Calibrating Multi Class Models -
Having a classifier with great metrics is good, but it is not enough for it to be useful in production. It is now well known that neural networks can be wrong with high confidence in their predictions, leading to poor
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- Having a classifier with great metrics is good, but it is not enough for it to be useful in production.
- It is now well known that neural networks can be wrong with high confidence in their predictions, leading to poor
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