Synthetic feature

A feature not present among the input features, but assembled from one or more of them.¹ Features created by normalizing or scaling alone are not considered synthetic features.

Footnotes

developers.google.com/machine-learning/glossary#synthetic_feature

Feature crossing 이 글을 인용: “A synthetic feature formed by "crossing" categorical or bucketed features.”
Evaluating large language models in generating synthetic HCI research data “Motivated by this, we explore the potential of Large language models (LLMs) in generating synthetic user resear…”
Example (machine learning) 이 글을 인용: “Furthermore, the features in an example can also include synthetic features, such as feature crosses.”
Synthetic data “(in AI and Machine learning) 합성 데이터.”
Sparse features “A feature whose values are predominately zero or empty.”
Introduction to machine learning problem framing “Determining which features have predictive power can be a time consuming process.”
ML crash course - Linear regression “Weight is a parameter of the model and is calculated during training.”
What 'Out-of-distribution' Is and Is Not “We critique a standard definition of OOD— difference-in-distribution—and then disambiguate four meaningful type…”
Clipping (machine learning) “For example, suppose that <0.5% of values for a particular feature fall outside the range 40–60.”
Discrete feature “A feature with a finite set of possible values.”
Bucketization “The chopped feature is typically a continuous feature.”
What do Large Language Models Say About Animals? “Our benchmark dataset comprises 1,850 curated questions from Reddit post titles and 2,500 synthetic questions b…”