We compute MAE as the average absolute distance between estimated temperatures and their corresponding ground truth values. Finally, we evaluate the efficacy of smoothing the training data prior to performing regression. We investigate rolling mean, minimum, and median smoothing methods. In our experiments, rolling mean produces the smallest error for the datasets we investigate. We…