E-mail systems remain one of the primary means of communication among users. However, unwanted messages pose a serious threat to system security and represent a significant risk to users and organizations. This paper discusses the principles of machine learning algorithms and presents a comparative analysis of their performance. Additionally, the advantages of ensemble methods for detecting and filtering unwanted messages are highlighted.
| Mualliflar | Хамидов, Шерзод |
|---|---|
| Jurnal | Al-Farg'oniy avlodlari |
| Nashr sanasi | 2025-03-23 |
| Son | 1 |
| Betlar | 207-211 |
| Til | Rus |
nomaqbul xabarlar, fishing, mashinaviy o‘qitish logistik regressiya, Sodda Bayes, SVM, k-NN, tasodifiy o‘rmon, ansambl.
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