The confidence intervals of AUC, Accuracy, Precision and F1 values for different models.
<p>The confidence intervals of AUC, Accuracy, Precision and F1 values for different models.</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_ | 1852020587611815936 |
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| author | Kong Yuzhong (21175834) |
| author2 | Wu Hua (2168293) Xu Chong (21300122) Sun Jingjing (21300125) Zhu Kangcheng (21175822) Zhang Chenguang (21300128) Zhou Jianwei (21175828) Xu Tong (8099873) Su Taijin (21300131) Zhang Zelin (21300134) Kong Hui (21300137) |
| author2_role | author author author author author author author author author author |
| author_facet | Kong Yuzhong (21175834) Wu Hua (2168293) Xu Chong (21300122) Sun Jingjing (21300125) Zhu Kangcheng (21175822) Zhang Chenguang (21300128) Zhou Jianwei (21175828) Xu Tong (8099873) Su Taijin (21300131) Zhang Zelin (21300134) Kong Hui (21300137) |
| author_role | author |
| dc.creator.none.fl_str_mv | Kong Yuzhong (21175834) Wu Hua (2168293) Xu Chong (21300122) Sun Jingjing (21300125) Zhu Kangcheng (21175822) Zhang Chenguang (21300128) Zhou Jianwei (21175828) Xu Tong (8099873) Su Taijin (21300131) Zhang Zelin (21300134) Kong Hui (21300137) |
| dc.date.none.fl_str_mv | 2025-05-09T17:30:41Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pone.0322566.t004 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/dataset/The_confidence_intervals_of_AUC_Accuracy_Precision_and_F1_values_for_different_models_/28991846 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Medicine Biotechnology Ecology Cancer Science Policy Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified twelve conditioning factors significant geological hazard land use planning encompassing geological environment conditioning factors based machine learning models four coupled models certain central regions altitude regions like optimal classification performance best classification effect landslide susceptibility model classification performance landslide susceptibility unoptimized models lr models effect among landslide samples lowest susceptibility highest susceptibility thereby improving thereby enhancing research utilizes predominantly situated luolong county largely located human activities f1 score entropy index disaster prevention data dispersion consistently shrouded comprehensive assessment case study |
| dc.title.none.fl_str_mv | The confidence intervals of AUC, Accuracy, Precision and F1 values for different models. |
| dc.type.none.fl_str_mv | Dataset info:eu-repo/semantics/publishedVersion dataset |
| description | <p>The confidence intervals of AUC, Accuracy, Precision and F1 values for different models.</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_7af8e81694dfd2ed4ec603e4de0445bb |
| identifier_str_mv | 10.1371/journal.pone.0322566.t004 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/28991846 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | The confidence intervals of AUC, Accuracy, Precision and F1 values for different models.Kong Yuzhong (21175834)Wu Hua (2168293)Xu Chong (21300122)Sun Jingjing (21300125)Zhu Kangcheng (21175822)Zhang Chenguang (21300128)Zhou Jianwei (21175828)Xu Tong (8099873)Su Taijin (21300131)Zhang Zelin (21300134)Kong Hui (21300137)MedicineBiotechnologyEcologyCancerScience PolicyEnvironmental Sciences not elsewhere classifiedBiological Sciences not elsewhere classifiedtwelve conditioning factorssignificant geological hazardland use planningencompassing geological environmentconditioning factors basedmachine learning modelsfour coupled modelscertain central regionsaltitude regions likeoptimal classification performancebest classification effectlandslide susceptibility modelclassification performancelandslide susceptibilityunoptimized modelslr modelseffect amonglandslide sampleslowest susceptibilityhighest susceptibilitythereby improvingthereby enhancingresearch utilizespredominantly situatedluolong countylargely locatedhuman activitiesf1 scoreentropy indexdisaster preventiondata dispersionconsistently shroudedcomprehensive assessmentcase study<p>The confidence intervals of AUC, Accuracy, Precision and F1 values for different models.</p>2025-05-09T17:30:41ZDatasetinfo:eu-repo/semantics/publishedVersiondataset10.1371/journal.pone.0322566.t004https://figshare.com/articles/dataset/The_confidence_intervals_of_AUC_Accuracy_Precision_and_F1_values_for_different_models_/28991846CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/289918462025-05-09T17:30:41Z |
| spellingShingle | The confidence intervals of AUC, Accuracy, Precision and F1 values for different models. Kong Yuzhong (21175834) Medicine Biotechnology Ecology Cancer Science Policy Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified twelve conditioning factors significant geological hazard land use planning encompassing geological environment conditioning factors based machine learning models four coupled models certain central regions altitude regions like optimal classification performance best classification effect landslide susceptibility model classification performance landslide susceptibility unoptimized models lr models effect among landslide samples lowest susceptibility highest susceptibility thereby improving thereby enhancing research utilizes predominantly situated luolong county largely located human activities f1 score entropy index disaster prevention data dispersion consistently shrouded comprehensive assessment case study |
| status_str | publishedVersion |
| title | The confidence intervals of AUC, Accuracy, Precision and F1 values for different models. |
| title_full | The confidence intervals of AUC, Accuracy, Precision and F1 values for different models. |
| title_fullStr | The confidence intervals of AUC, Accuracy, Precision and F1 values for different models. |
| title_full_unstemmed | The confidence intervals of AUC, Accuracy, Precision and F1 values for different models. |
| title_short | The confidence intervals of AUC, Accuracy, Precision and F1 values for different models. |
| title_sort | The confidence intervals of AUC, Accuracy, Precision and F1 values for different models. |
| topic | Medicine Biotechnology Ecology Cancer Science Policy Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified twelve conditioning factors significant geological hazard land use planning encompassing geological environment conditioning factors based machine learning models four coupled models certain central regions altitude regions like optimal classification performance best classification effect landslide susceptibility model classification performance landslide susceptibility unoptimized models lr models effect among landslide samples lowest susceptibility highest susceptibility thereby improving thereby enhancing research utilizes predominantly situated luolong county largely located human activities f1 score entropy index disaster prevention data dispersion consistently shrouded comprehensive assessment case study |