Feature Machine Learning
noun
Definition 1: A variable or measurable attribute used as an input to a model; a feature vector is the set of such attributes taken together [ISO/IEC 22989:2022].
Example in context: “This feature vector was then used to train a classification model.” [Shao et al. 2024]
Definition 2: A property or characteristic of an object in a broader, non-specialized sense [Merriam-Webster].
Example in context: “Color is an important feature that machine vision uses to differentiate crops from soil.” [Chen et al. 2024]
Synonym: attribute
Related terms: feature vector, variable, predictor, input, descriptor, feature extraction, feature selection