A machine learning model requires numeric input features. A dataset contains a categorical feature named color with values Red, Green, and Blue. Which encoding technique converts this nominal feature into a format suitable for most ML algorithms without implying an ordinal relationship?

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B. One-hot encoding. One-hot encoding creates a separate binary column for each category value, avoiding the implicit ordinal relationship that label encoding introduces for nominal categories.

A machine learning model requires numeric input features. A dataset contains a categorical feature named color with values Red, Green, and Blue. Which encoding technique converts this nominal feature into a format suitable for most ML algorithms without implying an ordinal relationship?

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