Evaluation of Support Vector Machine and KNN for Fast Food Nutrition Data

What is it about?

With the development of technology, maintaining a healthy lifestyle has gotten simpler by keeping track of everyday activities like how much food you eat and what you eat. Nutritional study of fast food aims to prevent chronic diseases. Healthy nutrition and unhealthy nutrition are the two classifications. The support vector machine (SVM) with PCA, T-SNE is compared to KNN with PCA, and T-SNE to categorize this nutrition value. Kaggle food nutrition database is used and evaluated in order to test food. SVM with T-SNE outperforms KNN in terms of performance.

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Why is it important?

The support vector machine (SVM) with PCA, T-SNE is compared to KNN with PCA, and T-SNE to categorize this nutrition value. Kaggle food nutrition database is used and evaluated in order to test food.

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