Robust evaluation of classical and quantum machine learning under noise, imbalance, feature reduction and explainability

Abstract Quantum machine learning (QML) has emerged as a promising paradigm for solving complex classification problems by leveraging the computational advantages of quantum systems. While most traditional machine learning models focus on clean, balanced datasets, real-world data is often noisy, imb...

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Główni autorzy:	Savita Kumari Sheoran, Vikesh Yadav, Rakesh Kumar Sheoran
Format:	Artigo
Język:	Inglês
Wydane:	Nature Portfolio 2025-12-01
Seria:	Scientific Reports
Hasła przedmiotowe:	Machine learning Classification Linear regression Random forest Support vector machine K- nearest neighbor
Dostęp online:	https://doi.org/10.1038/s41598-025-28412-9
Etykiety:	Dodaj etykietę Nie ma etykietki, Dołącz pierwszą etykiete!