Modeling Tick Populations: An Ecological Test Case for Gradient Boosting Trees

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.文件"GBM_Training.py"中包含用于训练及验证分布、丰度、多分类与密度梯度提升模型（Gradient Boosted Models）的代码。文件"All_features.csv"收录了所有被纳入模型的特征。文件"Nymph_And_Environmental_Data.csv"包含用于训练与评估模型的数据集。