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Tagged with labeled-datasets deep-learning
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If the accuracy of my current model is low ($50 \%$) and we want to minimize time in collecting more data, should we try other models?
Suppose we have a data set with $4,000$ labeled examples. The outcome variable is trinary (three possible categorical values). Suppose the accuracy of a given model is "bad" (e.g. less than $...
