Predicting restaurant ratings using regression analysis approach

¹ Assistant Professor in Vadlamudi, Andhra Pradesh, India Department of Computer Science and Engineering
² Vignan’s Foundation for Science, Technology, and Research, Department of Computer Science Engineering, Vadlamudi, Andhra Pradesh, India

Abstract

Restaurant Builder solves the challenge of building restaurants in a highly competitive market by providing a framework for accurately predicting restaurant prices, a key tool for attracting customers and measuring success. This study identifies and identifies key factors that influence evaluation, allowing restaurant owners to make informed decisions, reduce risk, and save time before starting a business. The study uses seven regression models to compare performance indicators and identify the most reliable predictive models, ultimately providing valuable resources to support informed decision making and increase the likelihood of success for new restaurant ventures.