Which of the following is NOT a typical data preprocessing step?

Question

BlackTom AI · Accepted Answer

The question asks us to identify which option does not belong to the typical data preprocessing steps.
Option a: Encoding categorical variables. This is a common preprocessing technique used to convert non-numeric categories into numeric form so that algorithms can process them.
Option b: Outlier handling. Addressing extreme values or anomalies is a standard preprocessing activity to improve model performance and stability.
Option c: Model selection. This step occurs after preprocessing and involves choosing among different modeling approaches or algorithms; it is part of the modeling phase, not preprocessing.
Option d: Data transformation. Transforming data (e.g., scaling, normalization, log transforms) is a core preprocessing step to prepare features for modeling.
Overall, options a, b, and d are typical preprocessing tasks, while option c is associated with choosing the model itself rather than preparing the data.

Which of the following is NOT a typical data preprocessing step?单项选择题

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