================= Objective ================= :Authors: Cao Tri DO :Version: 2025-04 .. admonition:: Objectives :class: important This article is intended to provide a comprehensive overview of the business objectives in which the project is being developed. source: https://www.kaggle.com/datasets/ahsan81/hotel-reservations-classification-dataset/data In this context, the central question of the use case is: **Can we predict whether a customer will honor their reservation or cancel it?** The goal is to develop a **predictive model** capable of estimating, based on booking-related features (such as reservation date, stay duration, booking channel, cancellation policy, and customer profile), the probability that a reservation will be canceled or result in a no-show. Such a solution would enable hotels to: - better **anticipate cancellations** and adjust their sales strategy accordingly; - optimize **occupancy rates** and **revenue management**; - implement **dynamic pricing policies** or targeted offers based on cancellation risk; - improve **operational planning** (staff scheduling, supply management, maintenance). Ultimately, predicting booking behavior supports a **data-driven decision-making** approach that balances **customer satisfaction** with **hotel profitability and efficiency**.