The behaviour of random forest permutation-based variable importance measures under predictor correlation
Random forests (RF) have been increasingly used in applications such as genome-wide association and microarray studies where predictor correlation is frequently observed. Recent works on permutation-based variable importance measures (VIMs) used in RF have come to apparently contradictory conclusion...
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| Main Authors: | , , , |
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| Format: | Artigo |
| Language: | English |
| Published: |
2010
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| Online Access: | https://doi.org/10.1186/1471-2105-11-110 https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/1471-2105-11-110 |
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