Feature Selection and Hybrid Sampling with Machine Learning Methods for Health Data Classification

Hairani Hairani; Triyanna Widiyaningtyas; Didik Dwi Prasetya

Journal ArticleOPEN ACCESS

Feature Selection and Hybrid Sampling with Machine Learning Methods for Health Data Classification

Hairani H
Widiyaningtyas T
Prasetya D

Revue d'Intelligence Artificielle (2024) 38(4) 1255-1261

DOI: 10.18280/ria.380419

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Abstract

… Hybrid sampling method SMOTE-Enn can be … SMOTE-Enn results in class balance, with 3355 instances of the minority class (stroke) and 3755 instances of the majority class (non-stroke…

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APA

Hairani, H., Widiyaningtyas, T., & Prasetya, D. D. (2024). Feature Selection and Hybrid Sampling with Machine Learning Methods for Health Data Classification. Revue d’Intelligence Artificielle, 38(4), 1255–1261. https://doi.org/10.18280/ria.380419

Feature Selection and Hybrid Sampling with Machine Learning Methods for Health Data Classification

Abstract

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