Attribute Sampling

A sampling method where data is selected or evaluated based on the presence, absence, or distribution of particular attributes. In AI and data work, attribute sampling can be used to inspect dataset quality, check class balance, or ensure that an evaluation set reflects the kinds of characteristics a model is meant to handle.