The relationship between Gini terminology and the ROC curve

Edna Schechtman, Gideon Schechtman

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

The objectives of this note are to correct a common error and to clarify the connection between the Gini terminology as used in the economic literature and the one used in the diagnostic and classification literature. More specifically, the connection between the area under the receiver operating characteristic (ROC) curve, which is frequently used in the diagnosis and classification literature, and the Gini terminology, which is mainly used in the economic literature, is clarified. It is shown that the area under the ROC curve is related to the covariance between the two vectors Y={yi}i=1n0 and {i/n0}i=1n0. Here yi is the number of items classified to group 1 lying between the (i- 1) th and the ith items classified to group 0, and n is the number of items in group 0.

Original languageEnglish
Pages (from-to)171-178
Number of pages8
JournalMetron
Volume77
Issue number3
DOIs
StatePublished - 1 Dec 2019

Keywords

  • Area under the curve (AUC)
  • Classification
  • Gini covariance
  • Lorenz curve

ASJC Scopus subject areas

  • Statistics and Probability

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