Enhancing Obesity Detection Through SMOTE -based Classification Models: A comparative Study

• Päätekijät: John Kamwele Mutinda (Tekijä), Amos Langat (Tekijä), Regis Konan Marcel Djaha (Tekijä), Jackson Ndoto Munyao (Tekijä), Lee Whitaker (Tekijä), Millicent Auma Omondi (Tekijä)
• Aineistotyyppi: Kirja
• Julkaistu: Universidad Libre, 2024-06-01T00:00:00Z.
• Aiheet: article
• Linkit: Connect to this object online.

Objective: To use SMOTE to enhance class balance and compare the performance of different classification methods before and after applying SMOTE. Methods: The study used a dataset from Kaggle. Consisted of several health-related features linked to obesity prediction. Checking for class imbalance wit...