Weight Of Evidence Encoding

Weight of Evidence Encoding is a categorical encoding technique that transforms categorical variables into continuous numerical values based on the logarithmic ratio of the conditional probabilities of the target class given each category, thereby reflecting the discriminative power of each category with respect to the outcome.

13

Publications

1.7K

Citations

17

Authors

9

Institutions

Publications per year

2017–2026

1

Authors

17

  1. IJ
    I. J. Good

    Virginia Tech, United States

    5 publications · 1.4K citations

    5

    h-index

  2. AK
    Andrea Kulakov

    Ss. Cyril and Methodius University in Skopje, North Macedonia

    2 publications · 53 citations

    2

    h-index

  3. PL
    Petre Lameski

    Ss. Cyril and Methodius University in Skopje, North Macedonia

    2 publications · 53 citations

    2

    h-index

  4. EZ
    Eftim Zdravevski

    Ss. Cyril and Methodius University in Skopje, North Macedonia

    2 publications · 53 citations

    2

    h-index

  5. LJ
    Leonard J. Savage

    Yale University, United States

    1 publications · 437 citations

    1

    h-index

1–5 of 17

Venues

  1. Mathematical Geosciences

    2 publications · 63 citations

    2

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  2. Journal of Statistical Computation and Simulation

    JSCS · 2 publications · 25 citations

    2

    h-index

  3. 1

    h-index

  4. Environmental Health Perspectives

    EHP · 1 publications · 13 citations

    1

    h-index

  5. 1

    h-index

1–5