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Without quality presence–absence data, discrimination metrics such as TSS can be misleading measures...

Without quality presence–absence data, discrimination metrics such as TSS can be misleading measures...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_hal_primary_oai_HAL_hal_02628656v1

Without quality presence–absence data, discrimination metrics such as TSS can be misleading measures of model performance

About this item

Full title

Without quality presence–absence data, discrimination metrics such as TSS can be misleading measures of model performance

Publisher

Oxford: John Wiley & Sons Ltd

Journal title

Journal of biogeography, 2018-09, Vol.45 (9), p.1994-2002

Language

English

Formats

Publication information

Publisher

Oxford: John Wiley & Sons Ltd

More information

Scope and Contents

Contents

The discriminating capacity (i.e. ability to correctly classify presences and absences) of species distribution models (SDMs) is commonly evaluated with metrics such as the area under the receiving operating characteristic curve (AUC), the Kappa statistic and the true skill statistic (TSS). AUC and Kappa have been repeatedly criticized, but TSS has...

Alternative Titles

Full title

Without quality presence–absence data, discrimination metrics such as TSS can be misleading measures of model performance

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_hal_primary_oai_HAL_hal_02628656v1

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_hal_primary_oai_HAL_hal_02628656v1

Other Identifiers

ISSN

0305-0270

E-ISSN

1365-2699

DOI

10.1111/jbi.13402

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