Python Code Performance of Machine Learning Models in Seasons
收藏NIAID Data Ecosystem2026-05-02 收录
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https://data.mendeley.com/datasets/78mztpjnf6
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资源简介：
These codes implements machine learning models such as Multilinear Regression (MLR), Random Forest (RF), Support Vector Regression (SVR), and Artificial Neural Networks (ANN) with geospatial and non-geospatial data to predict volume of water consumed by poor urban households in dry and wet seasons
创建时间：
2024-08-20
