Cargando…
Optimization of sports effect evaluation technology from random forest algorithm and elastic network algorithm
This study leverages advanced data mining and machine learning techniques to delve deeper into the impact of sports activities on physical health and provide a scientific foundation for informed sports selection and health promotion. Guided by the Elastic Net algorithm, a sports performance assessme...
Autor principal: | Wang, Caixia |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10588863/ https://www.ncbi.nlm.nih.gov/pubmed/37862380 http://dx.doi.org/10.1371/journal.pone.0292557 |
Ejemplares similares
-
Application of Motion Effect Evaluation Algorithm Based on Random Forest
por: Dong, Jin, et al.
Publicado: (2022) -
CURE-SMOTE algorithm and hybrid algorithm for feature selection and parameter optimization based on random forests
por: Ma, Li, et al.
Publicado: (2017) -
Credit Risk Evaluation of Asset Securitization of PPP Project of Sports Public Service Venues Based on Random Forest Algorithm
por: Wang, Yanshou
Publicado: (2022) -
Effective Macrosomia Prediction Using Random Forest Algorithm
por: Wang, Fangyi, et al.
Publicado: (2022) -
Retracted: Application of Motion Effect Evaluation Algorithm Based on Random Forest
por: Intelligence and Neuroscience, Computational
Publicado: (2023)