Computer scienceData scienceMachine learningData preprocessing

Preprocessing categorical features

Distinguishing Label Encoding and Ordinal Encoding

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What is the main difference between label encoding and ordinal encoding?

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Label encoding preserves the order or hierarchy among categories, while ordinal encoding does not consider any order among categories.

Label encoding is suitable for nominal features without any specific order, while ordinal encoding is suitable for features with an inherent order or hierarchy.

Label encoding assigns numeric labels based on category frequencies, while ordinal encoding assigns labels based on category order.

Label encoding introduces false relationships between categories, while ordinal encoding accurately captures the relationship between categories and the target variable.

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