synthetic feature

A feature not present among the input features, but assembled from one or more of them. Methods for creating synthetic features include the following: Multiplying (or dividing) one feature value by other feature value(s) or by itself. For example, if`a` and`b` are input features, then the following are examples of synthetic features: - ab - a2 Applying a transcendental function to a feature value. For example, if`c` is an input feature, then the following are examples of synthetic features: - sin(c) - ln(c) Features created by normalizing or scaling alone are not considered synthetic features.

Practitioners refer to synthetic feature when building, training, or evaluating machine learning systems. It appears in research papers, product documentation, and technical discussions about AI capabilities and limitations.