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Effects of species prevalence on the performance of predictive models

(2017) ECOLOGICAL MODELLING. 354. p.11-19
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Keywords
Quadratic effect, Species occurrence, Logistic regression, Random forest, Artificial neural network, Support vector machine, Macroinvertebrates, Habitat suitability, Mekong river, ARTIFICIAL NEURAL-NETWORKS, SAMPLE-SIZE, CROSS-VALIDATION, PRESENCE-ABSENCE, HABITAT MODELS, FRESH-WATER, ACCURACY, ECOLOGY, RICHNESS, CLIMATE

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Citation

Please use this url to cite or link to this publication:

MLA
Sor, Ratha et al. “Effects of Species Prevalence on the Performance of Predictive Models.” ECOLOGICAL MODELLING 354 (2017): 11–19. Print.
APA
Sor, R., Park, Y.-S., Boets, P., Goethals, P., & Lek, S. (2017). Effects of species prevalence on the performance of predictive models. ECOLOGICAL MODELLING, 354, 11–19.
Chicago author-date
Sor, Ratha, Young-Seuk Park, Pieter Boets, Peter Goethals, and Sovan Lek. 2017. “Effects of Species Prevalence on the Performance of Predictive Models.” Ecological Modelling 354: 11–19.
Chicago author-date (all authors)
Sor, Ratha, Young-Seuk Park, Pieter Boets, Peter Goethals, and Sovan Lek. 2017. “Effects of Species Prevalence on the Performance of Predictive Models.” Ecological Modelling 354: 11–19.
Vancouver
1.
Sor R, Park Y-S, Boets P, Goethals P, Lek S. Effects of species prevalence on the performance of predictive models. ECOLOGICAL MODELLING. 2017;354:11–9.
IEEE
[1]
R. Sor, Y.-S. Park, P. Boets, P. Goethals, and S. Lek, “Effects of species prevalence on the performance of predictive models,” ECOLOGICAL MODELLING, vol. 354, pp. 11–19, 2017.
@article{8515929,
  author       = {{Sor, Ratha and Park, Young-Seuk and Boets, Pieter and Goethals, Peter and Lek, Sovan}},
  issn         = {{0304-3800}},
  journal      = {{ECOLOGICAL MODELLING}},
  keywords     = {{Quadratic effect,Species occurrence,Logistic regression,Random forest,Artificial neural network,Support vector machine,Macroinvertebrates,Habitat suitability,Mekong river,ARTIFICIAL NEURAL-NETWORKS,SAMPLE-SIZE,CROSS-VALIDATION,PRESENCE-ABSENCE,HABITAT MODELS,FRESH-WATER,ACCURACY,ECOLOGY,RICHNESS,CLIMATE}},
  language     = {{eng}},
  pages        = {{11--19}},
  title        = {{Effects of species prevalence on the performance of predictive models}},
  url          = {{http://dx.doi.org/10.1016/j.ecolmodel.2017.03.006}},
  volume       = {{354}},
  year         = {{2017}},
}

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