Predicting Hotel Cancellations with Machine Learning

As you can imagine, the cancellation rate for bookings in the online booking industry is quite high. Once the reservation has been cancelled, there is almost nothing to be done. This creates discomfort for many institutions and creates a desire to take precautions. Therefore, predicting reservations that can be cancelled and preventing these cancellations will create a surplus value for the institutions. In this article, I will try to explain how future cancelled reservations can be predicted in advance by machine learning methods.