Work

Integration of Linear Regression and Knn Regression for Predicting Food Shelf-life Based on Nutritional Composition

Year: 2025

Type: article

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.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.15028140

Author: Tuychibaev Hamidullo

Language: English

Topic: Data Mining and Machine Learning Applications

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

SDG: Zero hunger

Open Access status: green

OpenAlex ID: W6949501092

FWCI:

Cites:

Cited by:

Related to: