Performance measures for ML models of synthesized dataset by TVAE.
<p>Performance measures for ML models of synthesized dataset by TVAE.</p>
محفوظ في:
| المؤلف الرئيسي: | |
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| مؤلفون آخرون: | , , , , , , , , |
| منشور في: |
2025
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| الموضوعات: | |
| الوسوم: |
إضافة وسم
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| _version_ | 1852019214404026368 |
|---|---|
| author | Kazi Arman Ahmed (21567972) |
| author2 | Israt Humaira (21567975) Ashiqur Rahman Khan (21567978) Md Shamim Hasan (20721344) Mukitul Islam (21567981) Anik Roy (11688974) Mehrab Karim (21567984) Mezbah Uddin (21567987) Ashique Mohammad (21567990) Md Doulotuzzaman Xames (21567993) |
| author2_role | author author author author author author author author author |
| author_facet | Kazi Arman Ahmed (21567972) Israt Humaira (21567975) Ashiqur Rahman Khan (21567978) Md Shamim Hasan (20721344) Mukitul Islam (21567981) Anik Roy (11688974) Mehrab Karim (21567984) Mezbah Uddin (21567987) Ashique Mohammad (21567990) Md Doulotuzzaman Xames (21567993) |
| author_role | author |
| dc.creator.none.fl_str_mv | Kazi Arman Ahmed (21567972) Israt Humaira (21567975) Ashiqur Rahman Khan (21567978) Md Shamim Hasan (20721344) Mukitul Islam (21567981) Anik Roy (11688974) Mehrab Karim (21567984) Mezbah Uddin (21567987) Ashique Mohammad (21567990) Md Doulotuzzaman Xames (21567993) |
| dc.date.none.fl_str_mv | 2025-06-18T17:45:39Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pone.0326221.t006 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/dataset/Performance_measures_for_ML_models_of_synthesized_dataset_by_TVAE_/29359260 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Biotechnology Cancer Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified predicting breast cancer necessitating improved approaches improve prediction performance improve prediction accuracy breast cancer diagnosis traditional ml models models using original based ensemble strategies ensemble models ml models two stages third phases synthetic datasets study demonstrated stratified k rising incidence original dataset mortality rates model ensembles including knn gaussian copula fold cross first stage findings underscore deep learning comparative analysis based multi aiding decision |
| dc.title.none.fl_str_mv | Performance measures for ML models of synthesized dataset by TVAE. |
| dc.type.none.fl_str_mv | Dataset info:eu-repo/semantics/publishedVersion dataset |
| description | <p>Performance measures for ML models of synthesized dataset by TVAE.</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_aefcf94b7341cf5cef7e018dad5f0ca2 |
| identifier_str_mv | 10.1371/journal.pone.0326221.t006 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/29359260 |
| 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 measures for ML models of synthesized dataset by TVAE.Kazi Arman Ahmed (21567972)Israt Humaira (21567975)Ashiqur Rahman Khan (21567978)Md Shamim Hasan (20721344)Mukitul Islam (21567981)Anik Roy (11688974)Mehrab Karim (21567984)Mezbah Uddin (21567987)Ashique Mohammad (21567990)Md Doulotuzzaman Xames (21567993)BiotechnologyCancerBiological Sciences not elsewhere classifiedMathematical Sciences not elsewhere classifiedInformation Systems not elsewhere classifiedpredicting breast cancernecessitating improved approachesimprove prediction performanceimprove prediction accuracybreast cancer diagnosistraditional ml modelsmodels using originalbased ensemble strategiesensemble modelsml modelstwo stagesthird phasessynthetic datasetsstudy demonstratedstratified krising incidenceoriginal datasetmortality ratesmodel ensemblesincluding knngaussian copulafold crossfirst stagefindings underscoredeep learningcomparative analysisbased multiaiding decision<p>Performance measures for ML models of synthesized dataset by TVAE.</p>2025-06-18T17:45:39ZDatasetinfo:eu-repo/semantics/publishedVersiondataset10.1371/journal.pone.0326221.t006https://figshare.com/articles/dataset/Performance_measures_for_ML_models_of_synthesized_dataset_by_TVAE_/29359260CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/293592602025-06-18T17:45:39Z |
| spellingShingle | Performance measures for ML models of synthesized dataset by TVAE. Kazi Arman Ahmed (21567972) Biotechnology Cancer Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified predicting breast cancer necessitating improved approaches improve prediction performance improve prediction accuracy breast cancer diagnosis traditional ml models models using original based ensemble strategies ensemble models ml models two stages third phases synthetic datasets study demonstrated stratified k rising incidence original dataset mortality rates model ensembles including knn gaussian copula fold cross first stage findings underscore deep learning comparative analysis based multi aiding decision |
| status_str | publishedVersion |
| title | Performance measures for ML models of synthesized dataset by TVAE. |
| title_full | Performance measures for ML models of synthesized dataset by TVAE. |
| title_fullStr | Performance measures for ML models of synthesized dataset by TVAE. |
| title_full_unstemmed | Performance measures for ML models of synthesized dataset by TVAE. |
| title_short | Performance measures for ML models of synthesized dataset by TVAE. |
| title_sort | Performance measures for ML models of synthesized dataset by TVAE. |
| topic | Biotechnology Cancer Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified predicting breast cancer necessitating improved approaches improve prediction performance improve prediction accuracy breast cancer diagnosis traditional ml models models using original based ensemble strategies ensemble models ml models two stages third phases synthetic datasets study demonstrated stratified k rising incidence original dataset mortality rates model ensembles including knn gaussian copula fold cross first stage findings underscore deep learning comparative analysis based multi aiding decision |