Confidence interval for micro-averaged
Delta-method
F1 measures
Machine learning
Multi-class classification
Precision
Recall
Journal
Applied intelligence (Dordrecht, Netherlands)
ISSN: 1573-7497
Titre abrégé: Appl Intell (Dordr)
Pays: Netherlands
ID NLM: 9918284258306676
Informations de publication
Date de publication:
Mar 2022
Mar 2022
Historique:
entrez:
23
3
2022
pubmed:
24
3
2022
medline:
24
3
2022
Statut:
ppublish
Résumé
A binary classification problem is common in medical field, and we often use sensitivity, specificity, accuracy, negative and positive predictive values as measures of performance of a binary predictor. In computer science, a classifier is usually evaluated with precision (positive predictive value) and recall (sensitivity). As a single summary measure of a classifier's performance,
Identifiants
pubmed: 35317080
doi: 10.1007/s10489-021-02635-5
pmc: PMC8936911
mid: NIHMS1752503
doi:
Types de publication
Journal Article
Langues
eng
Pagination
4961-4972Subventions
Organisme : NCI NIH HHS
ID : P30 CA008748
Pays : United States
Organisme : NCI NIH HHS
ID : P30 CA068485
Pays : United States
Déclaration de conflit d'intérêts
Conflict of Interests None.
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