Presentation description

I will be assessing the performance of a machine learning (ML) model developed to map especially continuous snow water equivalent (SWE) estimates for data seen and unseen in the training data. To do this I will use the hold-out method to train the ML model and test the accuracy of its predictions. Data from some catchments will be removed from the training set, the model will make SWE predictions for these catchments, and the accuracy of the model's predictions will be evaluated.