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Rongcheng Mashan Group Co Ltd xgboost machine learning algorithm
Xgboost Machine Learning Algorithm, supplied by Rongcheng Mashan Group Co Ltd, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/xgboost+algorithm/xgboost+regression+model/pm39367023-283-4-17
Average 90 stars, based on 1 article reviews
xgboost machine learning algorithm - by Bioz Stars, 2026-11
90/100 stars

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Article Title: Assessment and simulation of eco-environmental quality changes in rapid rural urbanization: Xiong'an New Area, China.
Article Snippet: .. We constructed an XGBoost regression model using Rongcheng County’s 2021 RSEI as the dependent variable and five urban-rural construction features, i.e., NDVInor, NDISInor, PB, PopD, and BH, as independent variables. ..

Article Title: Assessment and simulation of eco-environmental quality changes in rapid rural urbanization: Xiong’an New Area, China
Article Snippet: Furthermore, we utilized the constructed XGBoost regression model to perform the multi-scenario simulation on RSEI in Rongcheng County by progressively changing the urban-rural construction features by 5% (Fig. ). .. Furthermore, we utilized the constructed XGBoost regression model to perform the multi-scenario simulation on RSEI in Rongcheng County by progressively changing the urban-rural construction features by 5% (Fig. ). ..

Article Title: Assessment and simulation of eco-environmental quality changes in rapid rural urbanization: Xiong’an New Area, China
Article Snippet: We constructed an XGBoost regression model using Rongcheng County’s 2021 RSEI as the dependent variable and five urban-rural construction features, i.e., NDVI nor , NDISI nor , PB, PopD, and BH, as independent variables. .. We constructed an XGBoost regression model using Rongcheng County’s 2021 RSEI as the dependent variable and five urban-rural construction features, i.e., NDVI nor , NDISI nor , PB, PopD, and BH, as independent variables. ..

Article Title: Assessment and simulation of eco-environmental quality changes in rapid rural urbanization: Xiong'an New Area, China.
Article Snippet: .. Furthermore, we utilized the constructed XGBoost regression model to perform the multi-scenario simulation on RSEI in Rongcheng County by progressively changing the urban-rural construction features by 5% (Fig. 2). ..

other:

Article Title: Assessment and simulation of eco-environmental quality changes in rapid rural urbanization: Xiong'an New Area, China.
Article Snippet: By using XGBoost regression model and setting scenarios with a 5% progressive change in the urban-rural construction features, the simulated RSEI results of Rongcheng County, in the progressive scenarios S1–S4, were 0.548, 0.507, 0.461, and 0.417, respectively.

Article Title: Assessment and simulation of eco-environmental quality changes in rapid rural urbanization: Xiong'an New Area, China.
Article Snippet: Moreover, we utilized the XGBoost machine learning algorithm to simulate the RSEI across multiple construction scenarios in Rongcheng County, the pioneering and starting area of the new area.



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