Statistical analysis of classification method accuracy.
<p>Statistical analysis of classification method accuracy.</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_ | 1852023260482371584 |
|---|---|
| author | Hilman Nordin (20615178) |
| author2 | Bushroa Abdul Razak (20615181) Norrima Mokhtar (5698325) Mohd Fadzil Jamaludin (20615184) Adeel Mehmood (10451963) |
| author2_role | author author author author |
| author_facet | Hilman Nordin (20615178) Bushroa Abdul Razak (20615181) Norrima Mokhtar (5698325) Mohd Fadzil Jamaludin (20615184) Adeel Mehmood (10451963) |
| author_role | author |
| dc.creator.none.fl_str_mv | Hilman Nordin (20615178) Bushroa Abdul Razak (20615181) Norrima Mokhtar (5698325) Mohd Fadzil Jamaludin (20615184) Adeel Mehmood (10451963) |
| dc.date.none.fl_str_mv | 2025-01-24T19:16:31Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pone.0316996.t003 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/dataset/Statistical_analysis_of_classification_method_accuracy_/28277898 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Medicine Cell Biology Sociology Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified linear discriminant analysis enabling early detection 96 %) even managing mold defects categorizing mold defects mold features dataset maintaining high accuracy machine learning models fine art paintings mold defects machine learning imbalanced dataset typically arising test images technique leverages significant risk separate set results indicate regression trees paper presents lda ). invaluable artworks humid environments fungal growth evaluated using efficient means crucial role |
| dc.title.none.fl_str_mv | Statistical analysis of classification method accuracy. |
| dc.type.none.fl_str_mv | Dataset info:eu-repo/semantics/publishedVersion dataset |
| description | <p>Statistical analysis of classification method accuracy.</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_5fc026de99cb7b5ebacb74f6fc1c8ccf |
| identifier_str_mv | 10.1371/journal.pone.0316996.t003 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/28277898 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Statistical analysis of classification method accuracy.Hilman Nordin (20615178)Bushroa Abdul Razak (20615181)Norrima Mokhtar (5698325)Mohd Fadzil Jamaludin (20615184)Adeel Mehmood (10451963)MedicineCell BiologySociologySpace ScienceBiological Sciences not elsewhere classifiedMathematical Sciences not elsewhere classifiedInformation Systems not elsewhere classifiedlinear discriminant analysisenabling early detection96 %) evenmanaging mold defectscategorizing mold defectsmold features datasetmaintaining high accuracymachine learning modelsfine art paintingsmold defectsmachine learningimbalanced datasettypically arisingtest imagestechnique leveragessignificant riskseparate setresults indicateregression treespaper presentslda ).invaluable artworkshumid environmentsfungal growthevaluated usingefficient meanscrucial role<p>Statistical analysis of classification method accuracy.</p>2025-01-24T19:16:31ZDatasetinfo:eu-repo/semantics/publishedVersiondataset10.1371/journal.pone.0316996.t003https://figshare.com/articles/dataset/Statistical_analysis_of_classification_method_accuracy_/28277898CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/282778982025-01-24T19:16:31Z |
| spellingShingle | Statistical analysis of classification method accuracy. Hilman Nordin (20615178) Medicine Cell Biology Sociology Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified linear discriminant analysis enabling early detection 96 %) even managing mold defects categorizing mold defects mold features dataset maintaining high accuracy machine learning models fine art paintings mold defects machine learning imbalanced dataset typically arising test images technique leverages significant risk separate set results indicate regression trees paper presents lda ). invaluable artworks humid environments fungal growth evaluated using efficient means crucial role |
| status_str | publishedVersion |
| title | Statistical analysis of classification method accuracy. |
| title_full | Statistical analysis of classification method accuracy. |
| title_fullStr | Statistical analysis of classification method accuracy. |
| title_full_unstemmed | Statistical analysis of classification method accuracy. |
| title_short | Statistical analysis of classification method accuracy. |
| title_sort | Statistical analysis of classification method accuracy. |
| topic | Medicine Cell Biology Sociology Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified linear discriminant analysis enabling early detection 96 %) even managing mold defects categorizing mold defects mold features dataset maintaining high accuracy machine learning models fine art paintings mold defects machine learning imbalanced dataset typically arising test images technique leverages significant risk separate set results indicate regression trees paper presents lda ). invaluable artworks humid environments fungal growth evaluated using efficient means crucial role |