Identify Best Learning Method for Heart Diseases Prediction Under impact of Different Datasets Characteristics

This paper introduces an experimental study of the heart disease datasets characteristics impact on the performance of classification algorithms in the aim of identifying the best algorithm for each dataset under its characteristics. The performance of five machine learning algorithms (logistic reg...

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Detalles Bibliográficos

Principais autores:	Zahraa chaffat Oleiwi, Ebtesam N. AlShemmary, Salam Al-augby
Formato:	Artigo
Idioma:	Inglês
Publicado:	Faculty of Computer Science and Mathematics, University of Kufa 2023-03-01
Series:	Journal of Kufa for Mathematics and Computer
Assuntos:	Cardiovascular diseases Deep learning Data sparsity Machine learning Random Forest
Acceso en liña:	https://journal.uokufa.edu.iq/index.php/jkmc/article/view/10194
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