These two concepts are very important in machine learning as they provide an objective understanding of problems and their implications in order to make the right decisions.
The purpose of descriptive analysis is to find an accurate understanding of the problem by asking questions from historical data and allow us to understand if the machine learning model will perform poorly or if it is the best model in a particular problem.
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