Ranking Building Design and Operation Parameters for Residential Heating Demand Forecasting with Machine Learning - ASSOCIATED RESEARCH DATA
收藏doi.org2025-01-15 收录
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http://doi.org/10.17632/pybn6gb2m6.1
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资源简介：
The results of the 24 machine-learning models are presented in this dataset. The spreadsheets display the results of the three algorithms, both with optimized parameters and with default settings. The first spreadsheet pertains to the Random Forest results, the second to XGBoost, and the third to Extra Trees.
本数据集展示了24个机器学习模型的实验结果。其中，电子表格详细展示了三种算法在优化参数和默认参数设置下的运行效果。首张电子表格记录了随机森林算法的结果，次张为XGBoost算法，第三张则对应着Extra Trees算法。
提供机构：
Mendeley Data
