Now let’s evaluate the quality of the model by comparing the predictions made on the 20% test data to the actual digits, and calculate the classification evaluation metrics.
So imagine you’re scanning a stack of printed documents with lots of handwritten numbers. What level of accuracy would you consider acceptable?
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