Feature vector Machine Learning
noun
Definition: The array of feature values comprising an example; a feature vector is used as input during training and during inference [Google ML Glossary].
Example in context: “In particular, we hypothesized that creating a feature vector for each of the last six months of laboratory values, patient medications and the type of procedure (as specified in the procedure name) would improve the performance of models trained to predict postoperative mortality and AKI as compared to a baseline feature set.” [Hofer et al. 2022]
Related terms: feature, vector, feature space, embedding vector, input representation, feature extraction, feature selection
Note: A feature vector is a narrower term than vector: every feature vector is a vector, but not every vector is a feature vector.