What is the purpose of LabelEncoder in scikit-learn and when should you use OrdinalEncoder instead?

Question

Data Science with Python — Medium

What is the purpose of LabelEncoder in scikit-learn and when should you use OrdinalEncoder instead?

Accepted Answer

LabelEncoder is used to encode target labels as integers, while OrdinalEncoder is used for encoding multiple input feature columns with ordinal order. This means LabelEncoder is suitable for transforming the target variable, while OrdinalEncoder is ideal for encoding categorical features with a specific order.