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classify: Over 200 measures of association, correlation, and forecast accuracy for categorical outcomes

Author

Listed:
  • Andriy Sirchenko

    (Nyenrode Business University)

  • J. Huismans

    (University of Amsterdam)

  • J. W. Nijenhuis

    (Nedap NV)

Abstract

We describe a new Stata command, classify, that computes various measures of association and correlation, between two categorical variables (dichotomous and polytomous, nominal and ordinal), diagnostic scores of probabilistic forecasts of such variables, and various measures of the accuracy of deterministic forecasts of them. We compiled a comprehensive catalogue of over 210 measures of association, correlation and forecast verification and 9 diagnostic scores for probabilistic forecasts from different fields, along with the terminological synonymy and bibliography associated with them. In addition to the overall measures, the command computes the class-specific metrics as well as their macro and weighted averages.

Suggested Citation

  • Andriy Sirchenko & J. Huismans & J. W. Nijenhuis, 2024. "classify: Over 200 measures of association, correlation, and forecast accuracy for categorical outcomes," 2024 Stata Conference 16, Stata Users Group.
    • Handle: RePEc:boc:usug24:16
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    File URL: http://repec.org/usug2024/US24_Sirchenko.pdf
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