Name: Hotel Reservations Dataset
Creator: Kaggle
License: https://creativecommons.org/licenses/by/4.0/

About this Dataset

Hotel Reservations Dataset

Context

The online hotel reservation channels have dramatically changed booking possibilities and customers’ behavior. A significant number of hotel reservations are called-off due to cancellations or no-shows. The typical reasons for cancellations include change of plans, scheduling conflicts, etc. This is often made easier by the option to do so free of charge or preferably at a low cost which is beneficial to hotel guests but it is a less desirable and possibly revenue-diminishing factor for hotels to deal with.

Can you predict if the customer is going to honor the reservation or cancel it ?

Tables

Hotel Reservations

@kaggle.ahsan81_hotel_reservations_classification_dataset.hotel_reservations

512 KB
36275 rows
19 columns


CREATE TABLE hotel_reservations (
  "booking_id" VARCHAR,
  "no_of_adults" BIGINT,
  "no_of_children" BIGINT,
  "no_of_weekend_nights" BIGINT,
  "no_of_week_nights" BIGINT,
  "type_of_meal_plan" VARCHAR,
  "required_car_parking_space" BIGINT,
  "room_type_reserved" VARCHAR,
  "lead_time" BIGINT,
  "arrival_year" BIGINT,
  "arrival_month" BIGINT,
  "arrival_date" BIGINT,
  "market_segment_type" VARCHAR,
  "repeated_guest" BIGINT,
  "no_of_previous_cancellations" BIGINT,
  "no_of_previous_bookings_not_canceled" BIGINT,
  "avg_price_per_room" DOUBLE,
  "no_of_special_requests" BIGINT,
  "booking_status" VARCHAR
);