Feature-Based Complexity Measure for Multinomial Classification Datasets

Machine learning algorithms are frequently used for classification problems on tabular datasets. In order to make informed decisions about model selection and design, it is crucial to gain meaningful insights into the complexity of these datasets. Feature-based complexity measures are a set of compl...

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Bibliographic Details
Main Authors: Kyle Erwin, Andries Engelbrecht
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Entropy
Subjects:
Online Access:https://www.mdpi.com/1099-4300/25/7/1000