👉 Transfeatures are a type of feature that is often used in machine learning and deep learning models. These features represent the relationships between different input variables, such as categorical variables or numerical variables. The goal of transfeatures is to capture the underlying dependencies between these variables so that they can be used for prediction or classification tasks.
For example, if we have a dataset with two categories (A and B) and three features (X1, X2, and X3), we might use transfeatures such
transfeature