As with the TD predictions, the Train-Validate-Test paradigm was used to evaluate the performance of the tuned model, and the results of these tests is given in Table . The MAE for the RF model is 1.435 for the test set and 0.779 for the training set. Since the mean %LC value for timepoints after 1 month is 94.7%, the percent error for this model is 1.52%. It is interesting to note that, relative to the magnitude of the mean value, the final %LC model does better than the final TD model, even though the trend is less linear with respect to time-point. This indicates that the ML models are able to account for non-linearity in the data.