.

Vera Ignatenko1, Anton Surkov1, Sergei Koltcov1

  • 1Social and Cognitive Informatics Laboratory, National Research University Higher School of Economics, Saint-Petersburg, Russia.

PeerJ. Computer science
|January 10, 2024
PubMed
概括

这项研究通过结合Renyi,Tsallis和Sharma-Mittal等变形度来增强随机森林算法,显著提高了对基准数据集的分类和回归任务的预测准确性.

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