Decision Trees
Decision Trees is a predictive modeling technique within the class of interpretable machine learning and decision-analytic methods that partitions data hierarchically through a series of binary splits on predictor variables to map observations to outcomes based on feature-driven logical rules.
17.9K
Publications
1.4M
Citations
51.7K
Authors
8.7K
Institutions
Publications per year
2017–2026
10.4K
Variants
Decision Tree
17.9K
Classification and Regression Trees.
Alexander Gordon, Leo Breiman, Jerome H. Friedman et al. · Biometrics · 1984 · 23.9K citations
Classification and Regression Trees.
John Van Ryzin, Leo Breiman, Jerome H. Friedman et al. · Journal of the American Statistical Association · 1986 · 21K citations
Classification and Regression by randomForest
Andy Liaw, Matthew C. Wiener · 2007 · 18.4K citations
J. R. Quinlan · Machine Learning · 1986 · 14.8K citations · Full text
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8.7K
Duy Tan University
Da Nang, Vietnam
54 h-index
76 publications
9.6K citations

Chinese Academy of Sciences
Beijing, China
47 h-index
245 publications
24.7K citations
Stanford University
Stanford, United States
46 h-index
187 publications
32.2K citations

Ton Duc Thang University
Ho Chi Minh City, Vietnam
44 h-index
54 publications
6.9K citations
Massachusetts Institute of Technology
Cambridge, United States
43 h-index
171 publications
16.7K citations

Centre National de la Recherche Scientifique
Paris, France
42 h-index
274 publications
23.8K citations
Vellore Institute of Technology University
Vellore, India
39 h-index
202 publications
19.2K citations

Tarbiat Modares University
Tehran, Iran
39 h-index
97 publications
7.9K citations
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237 publications · 24.6K citations
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262 publications · 23.7K citations
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Repository · 303 publications · 12.8K citations
57
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187 publications · 9.3K citations
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148 publications · 12.4K citations
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