Compared to the other steps in CRISP-DM,data preprocessing consumes the most time and effort; most believe that this step accounts for roughly 80 percent of the total time spent on a data mining project

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Data preprocessing involves cleaning, transforming, and preparing the data for analysis, which is a time-consuming process. Most data scientists spend a considerable amount of time on this step, often up to 80 percent of the total project time.

Compared to the Other Steps in CRISP-DM,data Preprocessing Consumes the Most