Predicting Hotel Reservation Cancellations with R language.
Knowing in advance bookings that will be canceled before the arrival date is crucial in the hotel sector. We will examine the determinant characteristics of reservation cancellation, the constrains of this project and how the probability of cancellation was estimated.
Some users are more likely to cancel their bookings than others, depending on several factors/conditions. Knowing these factors and how many bookings will be canceled will help hotels to optimize their incomes and maximize their occupancy.