Yes, you make very good points here about seasonality and weather. We have looked at training the model on a small window of flight dates vs randomly sampling a

Yes, you make very good points here about seasonality and weather. We have looked at training the model on a small window of flight dates vs randomly sampling across all dates and the former performed better in testing. We wanted to limit our modeling complexity to random forest and gradient boosting as an initial proof of concept here. Our plan is to retrain the current weather model weekly while monitoring performance, store the data, and then maybe look to using a more complex model like a neural net to train a model using data across all dates.