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Imbalanced class distribution and performance evaluation metrics: A systematic review of prediction...

Imbalanced class distribution and performance evaluation metrics: A systematic review of prediction...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b84eaf9881a24df3af5bee151a80c91b

Imbalanced class distribution and performance evaluation metrics: A systematic review of prediction accuracy for determining model performance in healthcare systems

About this item

Full title

Imbalanced class distribution and performance evaluation metrics: A systematic review of prediction accuracy for determining model performance in healthcare systems

Publisher

San Francisco: Public Library of Science

Journal title

PLOS digital health, 2023-11, Vol.2 (11), p.e0000290-e0000290

Language

English

Formats

Publication information

Publisher

San Francisco: Public Library of Science

More information

Scope and Contents

Contents

Focus on predictive algorithm and its performance evaluation is extensively covered in most research studies to determine best or appropriate predictive model with Optimum prediction solution indicated by prediction accuracy score, precision, recall, f1score etc. Prediction accuracy score from performance evaluation has been used extensively as the...

Alternative Titles

Full title

Imbalanced class distribution and performance evaluation metrics: A systematic review of prediction accuracy for determining model performance in healthcare systems

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_b84eaf9881a24df3af5bee151a80c91b

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b84eaf9881a24df3af5bee151a80c91b

Other Identifiers

ISSN

2767-3170

E-ISSN

2767-3170

DOI

10.1371/journal.pdig.0000290

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