Modeling Tick Populations: An Ecological Test Case for Gradient Boosting Trees
Published: 24 March 2023| Version 2 | DOI: 10.17632/w8bp678m3f.2
Contributors:
, , , Description
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.
Files
Institutions
New York State Department of Health, University of Pennsylvania
Categories
Ecology, Machine Learning, Environment and Health, Tick (Organism)