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Discrimination of fish populations using parasites: Random Forests on a ‘predictable’ host-parasite system
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SYSNO ASEP 0353458 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Článek ve WOS Title Discrimination of fish populations using parasites: Random Forests on a ‘predictable’ host-parasite system Author(s) Pérez-Del-Olmo, A. (DE)
Montero, E. E. (ES)
Fernández, M. (ES)
Barrett, J. (GB)
Raga, J. A. (ES)
Kostadinova, Aneta (BC-A) RIDSource Title Parasitology. - : Cambridge University Press - ISSN 0031-1820
Roč. 137, č. 12 (2010), s. 1833-1847Number of pages 15 s. Language eng - English Country GB - United Kingdom Keywords predictive models ; Random Forests ; fish population discrimination ; parasites as tags ; Boops boops ; Mediterranean ; North-East Atlantic Subject RIV GJ - Animal Vermins ; Diseases, Veterinary Medicine R&D Projects LC522 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) CEZ AV0Z60220518 - PAU-O, BC-A (2005-2011) UT WOS 000283794600011 DOI 10.1017/S0031182010000739 Annotation We address the effect of spatial scale and temporal variation on model generality when forming predictive models for fish assignment using a new data mining approach, Random Forests (RF), to variable biological markers (parasite community data). Models were implemented for a fish host-parasite system sampled along the Mediterranean and Atlantic coasts of Spain. The main results are that (i) RF are well suited for multiclass population assignment using parasite communities in non-migratory fish; (ii) RF provide an efficient means for model cross-validation on the baseline data and this allows sample size limitations in parasite tag studies to be tackled effectively; (iii) the performance of RF is dependent on the complexity and spatial extent/configuration of the problem; and (iv) the development of predictive models is strongly influenced by seasonal change and this stresses the importance of both temporal replication and model validation in parasite tagging studies. Workplace Biology Centre (since 2006) Contact Dana Hypšová, eje@eje.cz, Tel.: 387 775 214 Year of Publishing 2011
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