Description of the competition
This challenge was designed because flight delays not only irritate air passengers and disrupt their schedules, but also cause them:
- a decrease in efficiency
- an increase in capital costs, the reassignment of flight crews and aircraft
- an additional crew expense
Consequently, on balance, an airline's history of flight delays can have a negative effect on passenger demand.
This competition is intended to predict the estimated length of flight delays for each
This solution proposes to build a prediction model of flight delay using automatic learning techniques. The accurate prediction of flight delays will help all actors in the air travel ecosystem to establish effective action plans to reduce the impact of delays and avoid loss of time, capital and resources.