Hyperparameter results of various sample sizes and sampling schemes under random forests

The black-tailed prairie dog was once an abundant North American mammal that lived in large colonies, that could contain many thousands of individuals. It's populations have been greatly reduced mainly by human-caused threats across prairie grasslands. This includes various pest controls measures, but prairie dogs are also threatened by disease. Colonies can still be found in isolated patches of viable prairie grassland and shrub habitat.

My document detail the work I did on the research team in EMEA, principally building R shiny apps.

TRABAJO FINAL DEL CURSO DE MANEJO DE DATOS CON R

Realizado por: Nicolás Martínez, María Guaita y Ana Lopez

This study assesses the "effects of various sampling schemes on spatially autocorrelated data using tree-based machine learning algorithms". It will serve as a guideline in using sampling schemes and modelling techniques in the presence of spatial autocorrelation. This repository is the final iteration of the thesis "Assessing the Effects of Various Sampling Schemes on Tree-Based Machine Learning Algorithms" by Edward Baleni and Sachinn Phalad, supervised by Sebnem Er, Sulaiman Sulau and Inger Fabris-Rotelli.