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A Comparison of Random Forest Variable Selection Methods for Classification Prediction Modeling

Random forest classification is a popular machine learning method for developing prediction models in many research settings. Often in prediction modeling, a goal is to reduce the number of variables needed to obtain a prediction in order to reduce the burden of data collection and improve efficienc...

पूर्ण विवरण

में बचाया:
ग्रंथसूची विवरण
में प्रकाशित:Expert Syst Appl
मुख्य लेखकों: Speiser, Jaime Lynn, Miller, Michael E., Tooze, Janet, Ip, Edward
स्वरूप: Artigo
भाषा:Inglês
प्रकाशित: 2019
विषय:
ऑनलाइन पहुंच:https://ncbi.nlm.nih.gov/pmc/articles/PMC7508310/
https://ncbi.nlm.nih.gov/pubmed/32968335
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.eswa.2019.05.028
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