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

Name: INTEGRATION OF LINEAR REGRESSION AND KNN REGRESSION FOR PREDICTING FOOD SHELF-LIFE BASED ON NUTRITIONAL COMPOSITION
Creator: Tuychibaev Hamidullo

descriptionPublicationkeyboard_double_arrow_right Article 14 Mar 2025Publisher:Zenodo

Authors: Tuychibaev Hamidullo;

doi: 10.5281/zenodo.15028141 , 10.5281/zenodo.15028140

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

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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.

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