Gini Impurity is a decision tree splitting metric that quantifies the likelihood of misclassifying a randomly selected element based on the distribution of class labels in a given node, thereby serving as a measure of node impurity in classification tasks.
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The revival of the Gini importance?
Inke R. König, Marvin N. Wright · Bioinformatics · 2018 · 776 citations · Full text
Yashoteja Prabhu, Manik Varma · 2014 · 332 citations
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Jiangsu Provincial Center for Disease Control and Prevention, China
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University of Science and Technology of China
Hefei, China
5 h-index
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304 citations
Indian Institute of Technology Delhi
New Delhi, India
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535 citations
University of Electronic Science and Technology of China
Chengdu, China
4 h-index
10 publications
275 citations
Nanyang Technological University
Singapore, Singapore
3 h-index
4 publications
152 citations
Peking University
Beijing, China
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12 publications
546 citations
University of Pittsburgh
Pittsburgh, United States
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6 publications
243 citations
Iowa State University
Ames, United States
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185 citations
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Zhenjiang, China
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2 publications
57 citations
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2 publications · 822 citations
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