Computer scienceData scienceMachine learningData preprocessing

Preprocessing categorical features

Predicting customer churn for telecommunication

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You are working on a machine learning project that involves predicting customer churn for a telecommunications company. One of the features in your dataset is "Payment Method," which indicates the payment method used by each customer. The payment methods include "Credit Card," "Bank Transfer," "Cash," and "PayPal." "Payment Method," feature has a low cardinality. You want to encode this categorical feature before training your model.

Based on the given scenario, which encoding technique would be most suitable for the "Payment Method" feature?

Select one option from the list

Ordinal Encoding

Target Encoding

Label Encoding

One-Hot Encoding

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