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A Survey of Six Classical Classifiers, Including Algorithms, Methodological Characteristics, Foundational Variants, and Recent Advances

Classification is a core supervised learning task in data analysis, and six classical classifier families (k-Nearest Neighbors, Support Vector Machine, Decision Tree, Random Forest, Logistic Regression, and Naïve Bayes) remain widely used in practice and underpin many subsequent variants. Although b...

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Autori principali: Ali Hussein Alshammari, Gergely Bencsik, Almashhadani Hasnain Ali
Natura: Artigo
Lingua:Inglês
Pubblicazione: MDPI AG 2026-01-01
Serie:Algorithms
Soggetti:
classification algorithms
supervised learning
k-nearest neighbors
support vector machine
decision tree
random forests
Accesso online:https://www.mdpi.com/1999-4893/19/1/37
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