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The relationship between Gini terminology and the ROC curve

Author

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  • Edna Schechtman

    (Ben Gurion University of the Negev)

  • Gideon Schechtman

    (Weizmann Institute of Science)

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 $$Y=\{y_i\}_{i=1}^{n_0}$$Y={yi}i=1n0 and $$\{i/{n_0}\}_{i=1}^{n_0}$${i/n0}i=1n0. Here $$y_i$$yi is the number of items classified to group 1 lying between the $$(i-1)\mathrm{th}$$(i-1)th and the $$i\mathrm{th}$$ith items classified to group 0, and $$n_0$$n0 is the number of items in group 0.

Suggested Citation

  • Edna Schechtman & Gideon Schechtman, 2019. "The relationship between Gini terminology and the ROC curve," METRON, Springer;Sapienza Università di Roma, vol. 77(3), pages 171-178, December.
  • Handle: RePEc:spr:metron:v:77:y:2019:i:3:d:10.1007_s40300-019-00160-7
    DOI: 10.1007/s40300-019-00160-7
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    References listed on IDEAS

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    4. Corrado Gini, 2005. "On the measurement of concentration and variability of characters," Metron - International Journal of Statistics, Dipartimento di Statistica, Probabilità e Statistiche Applicate - University of Rome, vol. 0(1), pages 1-38.
    5. Lerman, Robert I. & Yitzhaki, Shlomo, 1984. "A note on the calculation and interpretation of the Gini index," Economics Letters, Elsevier, vol. 15(3-4), pages 363-368.
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    Cited by:

    1. Mauro Gasparini & Lidia Sacchetto, 2020. "On the definition of a concentration function relevant to the ROC curve," METRON, Springer;Sapienza Università di Roma, vol. 78(3), pages 271-277, December.
    2. Mauro Gasparini & Lidia Sacchetto, 2023. "Concentration and ROC Curves, Revisited," Sankhya A: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 85(1), pages 292-305, February.

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