Are there any factors / events or combinations of them that help us foresee potential delays or cancellations? EDA: Input datasets and basic transformations. Weather information. Assumptions and new features. Flight delay : 15 minutes. Hour of day of departure scheduled time (0-23). Hour of day of arrival scheduled time (0-23). Hour of day of departure real time (0-23). Difference between real departure time and scheduled time (delay in seconds). Difference between arrival scheduled time and real departure time (in seconds). Modeling Strategy (xGBoost) 1.3 target classes: 1.1No disruption.1.2Departure delay.1.3Cancellation. 2.Available information: 2.1 Airport departures/weather 3.2 target classes: 3.1No disruption. 3.2Arrival delay. 4.Available information: 4.1 Airport arrivals/weather.
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