RETRACTED ARTICLE: Comparative analysis of heart disease prediction using logistic regression, SVM, KNN, and random forest with cross-validation for improved accuracy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

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書誌詳細

主要な著者:	Yagyanath Rimal, Navneet Sharma, Siddhartha Paudel, Abeer Alsadoon, Madhav Parsad Koirala, Sumeet Gill
フォーマット:	Artigo
言語:	Inglês
出版事項:	Nature Portfolio 2025-04-01
シリーズ:	Scientific Reports
主題:	Machine learning Cross-validation Accuracy-precision Learning curve Health informatics
オンライン･アクセス:	https://doi.org/10.1038/s41598-025-93675-1
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