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A Novel Outlier-Robust Accuracy Measure for Machine Learning Regression Using a Non-Convex Distance...

A Novel Outlier-Robust Accuracy Measure for Machine Learning Regression Using a Non-Convex Distance...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_c2a45180b6bf4794981a27d8bc8ad511

A Novel Outlier-Robust Accuracy Measure for Machine Learning Regression Using a Non-Convex Distance Metric

About this item

Full title

A Novel Outlier-Robust Accuracy Measure for Machine Learning Regression Using a Non-Convex Distance Metric

Publisher

Basel: MDPI AG

Journal title

Mathematics (Basel), 2024-11, Vol.12 (22), p.3623

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Regression, a supervised machine learning approach, establishes relationships between independent variables and a continuous dependent variable. It is widely applied in areas like price prediction and time series forecasting. The performance of regression models is typically assessed using error metrics such as the Mean Squared Error (MSE), Mean Ab...

Alternative Titles

Full title

A Novel Outlier-Robust Accuracy Measure for Machine Learning Regression Using a Non-Convex Distance Metric

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_c2a45180b6bf4794981a27d8bc8ad511

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_c2a45180b6bf4794981a27d8bc8ad511

Other Identifiers

ISSN

2227-7390

E-ISSN

2227-7390

DOI

10.3390/math12223623

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