Auc Ratio Analysis

AUC Ratio Analysis is a metric-level contribution in machine learning evaluation that quantifies the relative performance of two models by comparing their respective areas under the receiver operating characteristic curve through a ratio-based formulation.

209

Publications

8.2K

Citations

1.1K

Authors

425

Institutions

Publications per year

2017–2026

27

Authors

1.1K

  1. AA
    Alexander A. Firsov

    Gause Institute of New Antibiotics Russian Academy of Medical Sciences, Russia

    3 publications · 149 citations

    3

    h-index

  2. SS
    Samson Symchowicz

    Bloomfield College, United States

    3 publications · 157 citations

    3

    h-index

  3. SN
    Sergey N. Vostrov

    Mount Auburn Hospital, United States

    3 publications · 149 citations

    3

    h-index

  4. KY
    Kyung‐Sang Yu

    Seoul National University Hospital, South Korea

    3 publications · 108 citations

    3

    h-index

  5. PP
    Pil‐Whan Park

    Gachon University Gil Medical Center, South Korea

    3 publications · 74 citations

    3

    h-index

1–5 of 1.1K

Venues

  1. The Journal of Clinical Pharmacology

    28 publications · 1K citations

    21

    h-index

  2. British Journal of Clinical Pharmacology

    BJCP · 23 publications · 1.1K citations

    19

    h-index

  3. PubMed

    Repository · 19 publications · 789 citations

    15

    h-index

  4. Clinical Pharmacology & Therapeutics

    CPT · 14 publications · 732 citations

    13

    h-index

  5. Antimicrobial Agents and Chemotherapy

    AAC · 13 publications · 582 citations

    12

    h-index

1–5