INTEGRATION OF LINEAR REGRESSION AND KNN REGRESSION FOR PREDICTING FOOD SHELF-LIFE BASED ON NUTRITIONAL COMPOSITION

In this research, a combination of Linear Regression and K-Nearest Neighbors (KNN) was utilized to analyze the relationship between nutritional composition (carbohydrates, fats, and proteins) and shelf-life of food products. The primary objective was to enhance the predictive accuracy of food expiration dates using machine learning techniques.