Enhancing Weak Nodes in Decision Tree Algorithm Using Data Augmentation

Decision trees are among the most popular classifiers in machine learning, artificial intelligence, and pattern recognition because they are accurate and easy to interpret. During the tree construction, a node containing too few observations (weak node) could still get split, and then the resulted s...

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發表在:	Cybernetics and Information Technologies
Main Authors:	Manzali Youness, El Far Mohamed, Chahhou Mohamed, Elmohajir Mohammed
格式:	Article
語言:	英语
出版:	Sciendo 2022-06-01
主題:	decision tree virtual merging node weak nodes nodes similarity data augmentation
在線閱讀:	https://doi.org/10.2478/cait-2022-0016