Regression Trees

Regression Trees is a type of decision tree that belongs to the class of predictive models and specifically differs from classification trees by predicting continuous numerical outcomes rather than discrete class labels.

2K

Publications

263.2K

Citations

8.2K

Authors

2.6K

Institutions

Publications per year

2017–2026

952

Variants

Regression Tree

Authors

8.2K

  1. SD
    Sašo Džeroski

    Jožef Stefan Institute, Slovenia

    13 publications · 983 citations

    12

    h-index

  2. WL
    Wei‐Yin Loh

    University of Wisconsin–Madison, United States

    11 publications · 3.9K citations

    11

    h-index

  3. FM
    Franco Maria Nardini

    Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo", Italy

    10 publications · 385 citations

    10

    h-index

  4. JE
    Jane Elith

    The University of Melbourne, Australia

    9 publications · 8.3K citations

    9

    h-index

  5. RM
    Rahul Mangharam

    University of Pennsylvania, United States

    8 publications · 261 citations

    8

    h-index

1–5 of 8.2K

Venues

  1. PLoS ONE

    37 publications · 2.6K citations

    27

    h-index

  2. Remote Sensing

    33 publications · 1.8K citations

    26

    h-index

  3. Scientific Reports

    30 publications · 1.4K citations

    24

    h-index

  4. Statistics in Medicine

    20 publications · 3.2K citations

    16

    h-index

  5. arXiv (Cornell University)

    Repository · 24 publications · 943 citations

    15

    h-index

1–5