Performance analysis of the methods for the models formed by adding 2023 data to the data set of the models created in the third stage.

<p>Performance analysis of the methods for the models formed by adding 2023 data to the data set of the models created in the third stage.</p>

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Bibliographic Details
Main Author:	Elif Tuçe Bal (21367965) (author)
Other Authors:	Ercan Akan (13045779) (author), Huseyin Gencer (21367968) (author)
Published:	2025
Subjects:	Microbiology Inorganic Chemistry Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified produce reliable results marine insurance purposes generating better results best method according baltic exchange indices appropriate valuation methodology statistically significant variables include independent variables ship valuation prediction prediction performance shows two models created linear regression models sales month provided obtained simplified models first data set xgboost ml algorithms ship sales linear regression independent variables models established data set xgboost stood significant superiority predicting performance easily obtained ml algorithms independent variable first created algorithms stand new data 2023 data first model ultramax ships ultramax segment random forest price predictions novel approach machine learning decision tree december 2022 august 2005
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