For a speech recognition app with a training set of audio clips from volunteers, counted error categories can include loud background noise, a user speaking quickly, and being far from the microphone.

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If a system is not doing well on the training set, one option is to listen to about 100 examples that the algorithm is doing poorly on to understand major categories of training set errors. These errors can be counted in different categories.

Reviewing Poor Training Examples to Identify Training Error Categories

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