Expected Prediction Error

Expected Prediction Error is the expected value of the squared difference between the predicted and true values of a target variable, decomposing into the sum of a model’s bias squared, variance, and irreducible error, thus serving as a fundamental measure of predictive performance in statistical learning.

112

Publications

6.2K

Citations

273

Authors

156

Institutions

Publications per year

2017–2026

30

Variants

Epe

Authors

273

  1. GR
    Gerardo Raggi

    Uppsala University, Sweden

    2 publications · 58 citations

    2

    h-index

  2. KH
    Katsuyuki Hagiwara

    Mie University, Japan

    2 publications · 94 citations

    2

    h-index

  3. DS
    Don Sharkey

    University of Nottingham, United Kingdom

    2 publications · 29 citations

    2

    h-index

  4. CH
    Caroline Henry

    University of Nottingham, United Kingdom

    2 publications · 29 citations

    2

    h-index

  5. CL
    Christian L. Ritterhoff

    Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany

    2 publications · 58 citations

    2

    h-index

1–5 of 273

Venues

  1. arXiv (Cornell University)

    Repository · 8 publications · 516 citations

    8

    h-index

  2. Nuclear Science and Engineering

    3 publications · 77 citations

    3

    h-index

  3. Frontiers in Neuroscience

    2 publications · 66 citations

    2

    h-index

  4. Pattern Recognition Letters

    2 publications · 201 citations

    2

    h-index

  5. 2

    h-index

1–5