Modeling Tick Populations: An Ecological Test Case for Gradient Boosting Trees
收藏NIAID Data Ecosystem2026-03-14 收录
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https://data.mendeley.com/datasets/w8bp678m3f
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资源简介：
In "GBM_Training.py" is the code to train and validate the distribution, abundance, multi-class, and density gradient boosted models. In " All_features.csv" are all features incorporated into models. In "Nymph_And_Environmental_Data.csv" are the data used to train and evaluate model.
创建时间：
2023-03-24
