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How to effectively test and debug machine learning models, from ML engineer@Apple to startup founder - Gabriel Bayomi - the data scientist show #055
The Data Scientist Show
Using Python to Define Error Rate and Coverage
Users can specify what metrics they want to use to define an error. So, for example, if it has the separation for the data set, maybe just after one or two then you have more confidence. But definitely like the DAP also matters because maybe the DAP is so big and too broad.
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