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RETRACTED ARTICLE: Comparative analysis of heart disease prediction using logistic regression, SVM, KNN, and random forest with cross-validation for improved accuracy

Abstract This primary research paper emphasizes cross-validation, where data samples are reshuffled in each iteration to form randomized subsets divided into n folds. This method improves model performance and achieves higher accuracy than the baseline model. The novelty lies in the data preparation...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Yagyanath Rimal, Navneet Sharma, Siddhartha Paudel, Abeer Alsadoon, Madhav Parsad Koirala, Sumeet Gill
Format: Artigo
Sprache:Inglês
Veröffentlicht: Nature Portfolio 2025-04-01
Schriftenreihe:Scientific Reports
Schlagworte:
Machine learning
Cross-validation
Accuracy-precision
Learning curve
Health informatics
Online-Zugang:https://doi.org/10.1038/s41598-025-93675-1
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