Random Forest Model Results.

<p>Predicted sales and uncertainty bands for the random forest model.</p>

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Bibliographic Details
Main Author:	Md Shakhawath Hossain (17537148) (author)
Other Authors:	Farjana Parvin (790298) (author)
Published:	2025
Subjects:	Medicine Biotechnology Science Policy Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Chemical Sciences not elsewhere classified Information Systems not elsewhere classified top two positions simple exponential smoothing random forest algorithms providing valuable insights improve forecast accuracy five specific products enhance inventory management enhance corporate performance croston &# 8217 comparing different approaches historical sales data bangladesh &# 8217 machine learning models bangladesh </ p predicting restaurant demand predicting sales demand forecasting xgboost model various statistical thereby demonstrating suggesting ways study seeks stock outs statistical models significant lack restaurant industry rated according produce predictions practical relevance operational efficiency multilayer perceptron minimize instances merchants due market dynamics growing complexity comparative study client behavior become crucial average score
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