Frequency encoding
Frequency encoding, also known as count encoding, is a technique used for encoding categorical features by replacing each category with its corresponding frequency or count in the dataset. In this encoding method, the more frequent a category is, the higher its encoded value. Frequency encoding can be a valuable tool in certain situations where the frequency of occurrence of a category carries valuable information.
When to use frequency encoding
Frequency encoding can be considered in the following scenarios:
- Informative frequency: The frequency or count of categories is informative and has a direct or indirect relationship with the target variable. For example, in a customer churn prediction problem, the frequency of product purchases by a customer may correlate with their likelihood to churn.
- Efficiency: You need an efficient encoding method that requires minimal computational resources and memory compared to one-hot encoding.
This encoding...
