eprintid: 18538
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/01/85/38
datestamp: 2024-06-04 14:10:49
lastmod: 2024-06-04 14:10:49
status_changed: 2024-06-04 14:03:32
type: article
metadata_visibility: show
creators_name: Ali, R.F.
creators_name: Muneer, A.
creators_name: Almaghthawi, A.
creators_name: Alghamdi, A.
creators_name: Fati, S.M.
creators_name: Ghaleb, E.A.A.
title: BMSP-ML: big mart sales prediction using different machine learning techniques
ispublished: pub
note: cited By 6
abstract: Variations in sales over time is the main issue faced by many retailers. To overcome this problem, we attempt to predict the sales by comparing the previous sales data of different stores. Firstly, the primary task is to recognize the pattern of the factors that help to predict sales. This study helps us understand the data and predict sales using many machines learning models. This process gets the data and beautifies the data by imputing the missing values and feature engineering. While solving this problem, predicting the monthly sales value is significant in the study. In addition, an essential element is to clear the missing data and perform proper feature engineering to better understand them before applying them. The experimental results show that the random forest predictor has outperformed ridge regression, linear regression, and decision tree models among the four machine learning techniques implemented in this study. The performance of the proposed models has been evaluated using root mean square error (RMSE). © 2023, Institute of Advanced Engineering and Science. All rights reserved.
date: 2023
publisher: Institute of Advanced Engineering and Science
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85143750528&doi=10.11591%2fijai.v12.i2.pp874-883&partnerID=40&md5=6c839b1c1110327be17bfc748373a7f6
id_number: 10.11591/ijai.v12.i2.pp874-883
full_text_status: none
publication: IAES International Journal of Artificial Intelligence
volume: 12
number: 2
pagerange: 874-883
refereed: TRUE
issn: 20894872
citation:   Ali, R.F. and Muneer, A. and Almaghthawi, A. and Alghamdi, A. and Fati, S.M. and Ghaleb, E.A.A.  (2023) BMSP-ML: big mart sales prediction using different machine learning techniques.  IAES International Journal of Artificial Intelligence, 12 (2).  pp. 874-883.  ISSN 20894872