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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | Supermarket Market And Retail Analysis Using XGBOOST Algorithm |
| Authors Name: | Chinthalapally Abhinash Reddy , Amartya Kumar , CH. Rohith , R. Sai Kumar , K. Anithaa Kingsly |
| Unique Id: | IJSDR2304040 |
| Published In: | Volume 8 Issue 4, April-2023 |
| Abstract: | Sales evaluation is necessary for supermarkets to recognize consumer necessities and growth product sales. Feature selection is an vital manner in income analysis, and it will increase the effectiveness of the overall analysis. In this look at, the XGBoost (Bayesian Optimization) approach was carried out with univariate and bivariate evaluation to analyze the significance of dataset capabilities. BigMart records for 2017 and 2020 have been used to check the developed technique. A one-dimensional method of evaluation of individual characteristics related to output variables. The bivariate method fashions the in shape of functions with output variables to decide the importance of functions. XGBoost technique carried out to massive functions to enhance classification overall performance. Univariate analysis shows that sales of culmination and greens, snacks and groceries account for 14%, that's better than other excellent categories. Recently, the use of machine learning algorithms to expect product income and advertising and marketing has become a warm topic among researchers and agencies. This article proposes the XGBoost sales analysis version, which mixes the XGBoost set of rules and a stricter engineering function to are expecting Walmart's income troubles. In the Kaggle opposition, the accuracy of the model for predicting destiny sales of 3573 models reached 93.8%. |
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| Cite Article: | "Supermarket Market And Retail Analysis Using XGBOOST Algorithm", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 4, page no.209 - 214, April-2023, Available :http://www.ijsdr.org/papers/IJSDR2304040.pdf |
| Downloads: | 000337068 |
| Publication Details: | Published Paper ID: IJSDR2304040 Registration ID:205011 Published In: Volume 8 Issue 4, April-2023 DOI (Digital Object Identifier): Page No: 209 - 214 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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