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Experiments for Model 2.0

Uses proprietary USRA flight data to train an XGBoost regressor model to predict estimated time of arrival (ETA) as a residual from the actual time of arrival. Also includes support modules for pulling data, processing data, and evaluating value of prediction task (e.g. cancellation rate improvement).