Using Weka for Analyzing Obesity Data: Insights and Binary Classification

Dec 12, 2025

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This midterm project by SaToya Kelliebrew highlights the application of Weka, a powerful machine learning software, to study obesity-related data. The project focuses on binary classification techniques to identify patterns and make predictions associated with obesity. With visual aids, it provides critical insights into how data can be analyzed effectively using Weka tools. The report discusses various classification algorithms and evaluates their effectiveness in making accurate predictions regarding obesity classification.

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Using Weka for Analyzing Obesity Data: Insights and Binary Classification

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