Determination of children's nutritional status with machine learning classification analysis approach
Musli Yanto,
Febri Hadi,
Syafri Arlis
Abstract:<span>Malnutrition is a problem that is often faced by every country around the world. Various facts show that malnutrition is of particular concern to many researchers. To can overcome this problem, every effort has been made such as developing analytical models in identification, classification, and prediction. This study aims to determine the nutritional status of children using the machine learning (ML) classification analysis approach. The methods used in the ML analysis process consist of cluster K… Show more
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