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Author/Affiliation: Nurhafifah MatondangOpen AccessArticle
6 Pages, 867 KB 
Effects of Oversampling SMOTE in the Classification of Hypertensive Dataset
Abstract:
Hypertensive or high blood pressure is a medical condition that can be driven by several factors. These factors or variables are needed to build a classification model of the hypertension dataset. In the construction of classification models, class imbalance problems are often found due to oversampling. This research aims to obtain the best classification model…
Read More(This article belongs to Section Artificial Intelligence in Computer Science (CAI))