2021 International Conference on Emerging Smart Computing and Informatics (ESCI) 2021
DOI: 10.1109/esci50559.2021.9396994
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Machine Learning Application for Black Friday Sales Prediction Framework

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Cited by 9 publications
(1 citation statement)
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“…Linear regression, a basic yet famous forecasting technique, was used to forecast the sales of a big superstore with an accuracy rate of 84% [6]. According to Ramachandra [7], when the dataset was balanced and using random forest regressor, it let them anticipate nonlinear trends and estimate black Friday sales with an 83.6% accuracy. XGBoost, another nonlinear algorithm, forecasts the short-term power load in [8].…”
Section: Product Sales Forecastingmentioning
confidence: 99%
“…Linear regression, a basic yet famous forecasting technique, was used to forecast the sales of a big superstore with an accuracy rate of 84% [6]. According to Ramachandra [7], when the dataset was balanced and using random forest regressor, it let them anticipate nonlinear trends and estimate black Friday sales with an 83.6% accuracy. XGBoost, another nonlinear algorithm, forecasts the short-term power load in [8].…”
Section: Product Sales Forecastingmentioning
confidence: 99%