Machine Learning Intermediate
rank
The ordinal position of a class in a machine learning problem that categorizes classes from highest to lowest.
Plain English Explanation
The ordinal position of a class in a machine learning problem that categorizes classes from highest to lowest. For example, a behavior ranking system could rank a dog's rewards from highest (a steak) to lowest (wilted kale).
How is it used?
Practitioners refer to rank when building, training, or evaluating machine learning systems. It appears in research papers, product documentation, and technical discussions about AI capabilities and limitations.