Concepedia

Calibration In Classification

Calibration in Classification is a probabilistic assessment framework that evaluates the degree to which a classifier’s predicted probabilities align with the actual empirical frequencies of class occurrences, distinguishing it from other performance measures by focusing on the reliability of probabilistic outputs rather than predictive accuracy alone.

115

Publications

13K

Citations

304

Authors

138

Institutions

Publications per year

2017–2026

60

Parents

Publications

115

On Calibration of Modern Neural Networks

Chuan Guo, Geoff Pleiss, Yu Sun et al. · arXiv (Cornell University) · 2017 · 1.7K citations · Full text

, , +16

On calibration of modern neural networks

Chuan Guo, Geoff Pleiss, Yu Sun et al. · International Conference on Machine Learning · 2017 · 1.2K citations

, , +16

Transforming classifier scores into accurate multiclass probability estimates

Bianca Zadrozny, Charles Elkan · 2002 · 1.1K citations

, , +17

Obtaining Well Calibrated Probabilities Using Bayesian Binning

Mahdi Pakdaman Naeini, Gregory Cooper, Miloš Hauskrecht · Proceedings of the AAAI Conference on Artificial Intelligence · 2015 · 947 citations · Full text

, , +17

A User-Friendly Guide to Multivariate Calibration and Classification

Eric R. Ziegel · Technometrics · 2004 · 921 citations

, , +11

1–5 of 115

Authors

304

  1. CE
    Charles Elkan

    University of California San Diego, United States

    4 publications · 2K citations

    4

    h-index

  2. BZ
    Bianca Zadrozny

    Universidade Federal Fluminense, Brazil

    4 publications · 2K citations

    4

    h-index

  3. PF
    Peter Flach

    University of Bristol, United Kingdom

    4 publications · 497 citations

    4

    h-index

  4. MP
    Mahdi Pakdaman Naeini

    University of Tehran, Iran

    3 publications · 987 citations

    3

    h-index

  5. NC
    Nontawat Charoenphakdee

    The University of Tokyo, Japan

    3 publications · 87 citations

    3

    h-index

1–5 of 304

Institutions

138

  1. University of California San Diego

    San Diego, United States

    7 h-index

    14 publications

    4.8K citations

  2. Google (United States)

    Mountain View, United States

    4 h-index

    12 publications

    564 citations

  3. Stanford University

    Stanford, United States

    4 h-index

    6 publications

    256 citations

  4. University of Pittsburgh

    Pittsburgh, United States

    4 h-index

    9 publications

    3K citations

  5. University of California, Berkeley

    Berkeley, United States

    3 h-index

    4 publications

    159 citations

  6. University of Chinese Academy of Sciences

    Beijing, China

    3 h-index

    6 publications

    174 citations

  7. Institute of Automation

    Beijing, China

    3 h-index

    6 publications

    174 citations

  8. Chinese Academy of Sciences

    Beijing, China

    3 h-index

    6 publications

    193 citations

1–8 of 138

Venues

  1. arXiv (Cornell University)

    Repository · 30 publications · 2.8K citations

    18

    h-index

  2. 4

    h-index

  3. International Journal of Approximate Reasoning

    3 publications · 166 citations

    3

    h-index

  4. International Conference on Machine Learning

    Conference · 3 publications · 1.3K citations

    3

    h-index

  5. Bristol Research (University of Bristol)

    Repository · 2 publications · 358 citations

    2

    h-index

1–5