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Assessing the accuracy and stability of variable selection methods for random forest modeling in ecology
Random forest (RF) modeling has emerged as an important statistical learning method in ecology due to its exceptional predictive performance. However, for large and complex ecological data sets there is limited guidance on variable selection methods for RF modeling. Typically, either a preselected s...
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| Veröffentlicht in: | Environ Monit Assess |
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| Hauptverfasser: | , , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
2017
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6049094/ https://ncbi.nlm.nih.gov/pubmed/28589457 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10661-017-6025-0 |
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