Performance analysis of the methods for the models created in the third stage.
<p>Performance analysis of the methods for the models created in the third stage.</p>
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2025
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| _version_ | 1852020396336873472 |
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| author | Elif Tuçe Bal (21367965) |
| author2 | Ercan Akan (13045779) Huseyin Gencer (21367968) |
| author2_role | author author |
| author_facet | Elif Tuçe Bal (21367965) Ercan Akan (13045779) Huseyin Gencer (21367968) |
| author_role | author |
| dc.creator.none.fl_str_mv | Elif Tuçe Bal (21367965) Ercan Akan (13045779) Huseyin Gencer (21367968) |
| dc.date.none.fl_str_mv | 2025-05-15T14:50:23Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pone.0319073.t011 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/dataset/Performance_analysis_of_the_methods_for_the_models_created_in_the_third_stage_/29074719 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | 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 |
| dc.title.none.fl_str_mv | Performance analysis of the methods for the models created in the third stage. |
| dc.type.none.fl_str_mv | Dataset info:eu-repo/semantics/publishedVersion dataset |
| description | <p>Performance analysis of the methods for the models created in the third stage.</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_c30d91fa68c2f5dfbaa1b4ef09e7cb4a |
| identifier_str_mv | 10.1371/journal.pone.0319073.t011 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/29074719 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Performance analysis of the methods for the models created in the third stage.Elif Tuçe Bal (21367965)Ercan Akan (13045779)Huseyin Gencer (21367968)MicrobiologyInorganic ChemistryEnvironmental Sciences not elsewhere classifiedBiological Sciences not elsewhere classifiedMathematical Sciences not elsewhere classifiedInformation Systems not elsewhere classifiedproduce reliable resultsmarine insurance purposesgenerating better resultsbest method accordingbaltic exchange indicesappropriate valuation methodologystatistically significant variablesinclude independent variablesship valuation predictionprediction performance showstwo models createdlinear regression modelssales month providedobtained simplified modelsfirst data setxgboost ml algorithmsship saleslinear regressionindependent variablesmodels establisheddata setxgboost stoodsignificant superioritypredicting performanceeasily obtainedml algorithmsindependent variablefirst createdalgorithms standnew data2023 datafirst modelultramax shipsultramax segmentrandom forestprice predictionsnovel approachmachine learningdecision treedecember 2022august 2005<p>Performance analysis of the methods for the models created in the third stage.</p>2025-05-15T14:50:23ZDatasetinfo:eu-repo/semantics/publishedVersiondataset10.1371/journal.pone.0319073.t011https://figshare.com/articles/dataset/Performance_analysis_of_the_methods_for_the_models_created_in_the_third_stage_/29074719CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/290747192025-05-15T14:50:23Z |
| spellingShingle | Performance analysis of the methods for the models created in the third stage. Elif Tuçe Bal (21367965) 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 |
| status_str | publishedVersion |
| title | Performance analysis of the methods for the models created in the third stage. |
| title_full | Performance analysis of the methods for the models created in the third stage. |
| title_fullStr | Performance analysis of the methods for the models created in the third stage. |
| title_full_unstemmed | Performance analysis of the methods for the models created in the third stage. |
| title_short | Performance analysis of the methods for the models created in the third stage. |
| title_sort | Performance analysis of the methods for the models created in the third stage. |
| topic | 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 |