Ordinal data, metadata, and models
Read OriginalThis technical article examines the problems inherent in working with ordinal data, where values have a specified order but no defined magnitude. It discusses the mathematical issue of ordering distributions and the data science problem of interpreting tradeoffs between ordinal levels without proper severity information, using a humorous health scale as an example.
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