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You are reviewing a dataset and find that the data is relatively high quality. There are no missing values and only a few outliers. You build a model based on the dataset that has high accuracy, precision, and recall when applied to the test data. When you use the model in production, however, it renders poor results. What might have caused this condition?

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You are reviewing a dataset and find that the data is relatively high quality. There are no missing values and only a few outliers. You build a model based on the dataset that has high accuracy, precision, and recall when applied to the test data. When you use the model in production, however, it renders poor results. What might have caused this condition?






 
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