Classification Performance Analysis of Decision Tree-Based Algorithms with Noisy Class Variable

Class noise is a common issue that affects the performance of classification techniques on real-world data sets. Class noise appears when a class variable in data sets has incorrect class labels. In the case of noisy data, the robustness of classification techniques against noise could be more impor...

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Bibliographic Details
Main Author: Abdulmajeed Atiah Alharbi
Format: Article
Language:English
Published: Wiley 2024-01-01
Series:Discrete Dynamics in Nature and Society
Online Access:http://dx.doi.org/10.1155/2024/6671395
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