A Method for Fast Selection of Machine-Learning Classifiers for Spam Filtering

The paper elaborates on how text analysis influences classification—a key part of the spam-filtering process. The authors propose a multistage meta-algorithm for checking classifier performance. As a result, the algorithm allows for the fast selection of the best-performing classifiers as well as fo...

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Bibliographic Details
Main Authors: Sylwia Rapacz, Piotr Chołda, Marek Natkaniec
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Electronics
Subjects:
Online Access:https://www.mdpi.com/2079-9292/10/17/2083