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

Published: 24 March 2023| Version 2 | DOI: 10.17632/w8bp678m3f.2
Contributors:
William Manley, Tam Tran, Melissa Prusinski, Dustin Brisson

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)

Licence