INTEGRATION OF LINEAR REGRESSION AND KNN REGRESSION FOR PREDICTING FOOD SHELF-LIFE BASED ON NUTRITIONAL COMPOSITION
14.03.2025 "Modern Science and Research" xalqaro ilmiy jurnali 1 seriyasi. Volume 4 Issue 3
Abstract. 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.
Keywords: Machine Learning, Food Shelf-Life Prediction, Nutritional Composition, Linear Regression, K-Nearest Neighbors (KNN), Predictive Modeling, Food Safety, Quality Control.
