A feature set is the group of input features used by a machine learning model for training or inference. It defines which attributes, signals, or derived values the model can use to make predictions.
The group of features your machine learning model trains on. For example, a simple feature set for a model that predicts housing prices might consist of postal code, property size, and property condition.