Winsorised gini impurity: A resistant to outliers splitting metric for classification tree
Constructing a classification tree is sometimes complicated due to outliers occur in the data. Eliminating the outliers is the simplest option, but some important information will lose. Alternatively, one may make some amendments on the value of outliers, but the amended value is arguable in term of...
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Main Authors: | , |
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Format: | Article |
Published: |
IP Publishing LLC
2014
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Online Access: | http://repo.uum.edu.my/25772/ http://doi.org/10.1063/1.4903661 |
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