This repository contains the script and data used to train and validate a machine learning algorithm to estimate the landslide runout distance, based on geometrical approximations. The repository contains three main files:
- The observed landslide dataset recording all the necessary variables;
- The code (in R) to train and validate the Random Forest model with the observed data, using the ranger algoritm
- The calibrated and validated Random Forest model