The confusion matrix shows a cross-tabulation of the actual class with the model’s predicted class (based on the conventional probability threshold of 0.5).
<p>The confusion matrix shows a cross-tabulation of the actual class with the model’s predicted class (based on the conventional probability threshold of 0.5).</p>
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | , |
| Published: |
2025
|
| Subjects: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1852021377585905664 |
|---|---|
| author | Barbara Więckowska (536264) |
| author2 | Katarzyna B. Kubiak (18585116) Przemysław Guzik (18585122) |
| author2_role | author author |
| author_facet | Barbara Więckowska (536264) Katarzyna B. Kubiak (18585116) Przemysław Guzik (18585122) |
| author_role | author |
| dc.creator.none.fl_str_mv | Barbara Więckowska (536264) Katarzyna B. Kubiak (18585116) Przemysław Guzik (18585122) |
| dc.date.none.fl_str_mv | 2025-04-10T17:39:08Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pone.0321661.t001 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/dataset/The_confusion_matrix_shows_a_cross-tabulation_of_the_actual_class_with_the_model_s_predicted_class_based_on_the_conventional_probability_threshold_of_0_5_/28773358 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Medicine Science Policy Infectious Diseases Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified proved highly effective net reclassification index nested setting ). matthews correlation coefficient heart disease dataset generated random variables certain traditional measures higher imbalance levels defined imbalance levels imbalanced binary classification xlink "> real using real data reference model overfitted entire imbalance range brier skill score smile method indicated reference prediction model majority class outnumbers new variable added reference model imbalance range class imbalance smile method majority class variable selection prediction improvement imbalanced datasets smile plots smile plot minority class event class class balance weighting factor useful tool seven pre reference models ratio test previously developed point size life problems level approach |
| dc.title.none.fl_str_mv | The confusion matrix shows a cross-tabulation of the actual class with the model’s predicted class (based on the conventional probability threshold of 0.5). |
| dc.type.none.fl_str_mv | Dataset info:eu-repo/semantics/publishedVersion dataset |
| description | <p>The confusion matrix shows a cross-tabulation of the actual class with the model’s predicted class (based on the conventional probability threshold of 0.5).</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_dad8a3590464422ba0d55a02fe72a080 |
| identifier_str_mv | 10.1371/journal.pone.0321661.t001 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/28773358 |
| 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 confusion matrix shows a cross-tabulation of the actual class with the model’s predicted class (based on the conventional probability threshold of 0.5).Barbara Więckowska (536264)Katarzyna B. Kubiak (18585116)Przemysław Guzik (18585122)MedicineScience PolicyInfectious DiseasesBiological Sciences not elsewhere classifiedMathematical Sciences not elsewhere classifiedproved highly effectivenet reclassification indexnested setting ).matthews correlation coefficientheart disease datasetgenerated random variablescertain traditional measureshigher imbalance levelsdefined imbalance levelsimbalanced binary classificationxlink "> realusing real datareference model overfittedentire imbalance rangebrier skill scoresmile method indicatedreference prediction modelmajority class outnumbersnew variable addedreference modelimbalance rangeclass imbalancesmile methodmajority classvariable selectionprediction improvementimbalanced datasetssmile plotssmile plotminority classevent classclass balanceweighting factoruseful toolseven prereference modelsratio testpreviously developedpoint sizelife problemslevel approach<p>The confusion matrix shows a cross-tabulation of the actual class with the model’s predicted class (based on the conventional probability threshold of 0.5).</p>2025-04-10T17:39:08ZDatasetinfo:eu-repo/semantics/publishedVersiondataset10.1371/journal.pone.0321661.t001https://figshare.com/articles/dataset/The_confusion_matrix_shows_a_cross-tabulation_of_the_actual_class_with_the_model_s_predicted_class_based_on_the_conventional_probability_threshold_of_0_5_/28773358CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/287733582025-04-10T17:39:08Z |
| spellingShingle | The confusion matrix shows a cross-tabulation of the actual class with the model’s predicted class (based on the conventional probability threshold of 0.5). Barbara Więckowska (536264) Medicine Science Policy Infectious Diseases Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified proved highly effective net reclassification index nested setting ). matthews correlation coefficient heart disease dataset generated random variables certain traditional measures higher imbalance levels defined imbalance levels imbalanced binary classification xlink "> real using real data reference model overfitted entire imbalance range brier skill score smile method indicated reference prediction model majority class outnumbers new variable added reference model imbalance range class imbalance smile method majority class variable selection prediction improvement imbalanced datasets smile plots smile plot minority class event class class balance weighting factor useful tool seven pre reference models ratio test previously developed point size life problems level approach |
| status_str | publishedVersion |
| title | The confusion matrix shows a cross-tabulation of the actual class with the model’s predicted class (based on the conventional probability threshold of 0.5). |
| title_full | The confusion matrix shows a cross-tabulation of the actual class with the model’s predicted class (based on the conventional probability threshold of 0.5). |
| title_fullStr | The confusion matrix shows a cross-tabulation of the actual class with the model’s predicted class (based on the conventional probability threshold of 0.5). |
| title_full_unstemmed | The confusion matrix shows a cross-tabulation of the actual class with the model’s predicted class (based on the conventional probability threshold of 0.5). |
| title_short | The confusion matrix shows a cross-tabulation of the actual class with the model’s predicted class (based on the conventional probability threshold of 0.5). |
| title_sort | The confusion matrix shows a cross-tabulation of the actual class with the model’s predicted class (based on the conventional probability threshold of 0.5). |
| topic | Medicine Science Policy Infectious Diseases Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified proved highly effective net reclassification index nested setting ). matthews correlation coefficient heart disease dataset generated random variables certain traditional measures higher imbalance levels defined imbalance levels imbalanced binary classification xlink "> real using real data reference model overfitted entire imbalance range brier skill score smile method indicated reference prediction model majority class outnumbers new variable added reference model imbalance range class imbalance smile method majority class variable selection prediction improvement imbalanced datasets smile plots smile plot minority class event class class balance weighting factor useful tool seven pre reference models ratio test previously developed point size life problems level approach |