Influencing factors of hotel reservation and prediction

Abstract

Hotel reservation has been a concern for hotel managers. They can manage their rooms well and deal with emergencies through the booking status, so it is important to predict whether the customer will cancel the reservation or not. Different from the articles data set based on evaluation and satisfaction of the hotel, this article is going to use limited and basic information based on objective factors to analysis the most influential factor and do the prediction. According to the correlation coefficient, the pairwise relationship of lead_time and booking status have a moderate and positive relationship, which. Next, through the test of goodness of fit, the number of children has a significant effect on the booking status. Last, the distance discriminant analysis model has a good predictive ability. The meaning of the analysis is to find new correlations of the pairwise variables, which people naturally ignore, and build a relatively accurate prediction model to serve the hotel managers to develop better.