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Decision tree modeling using R
In machine learning field, decision tree learner is powerful and easy to interpret. It employs recursive binary partitioning algorithm that splits the sample in partitioning variable with the strongest association with the response variable. The process continues until some stopping criteria are met...
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| Publié dans: | Ann Transl Med |
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| Auteur principal: | |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
AME Publishing Company
2016
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4980381/ https://ncbi.nlm.nih.gov/pubmed/27570769 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.21037/atm.2016.05.14 |
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