gemuchu/hotel_bookings

该数据集包含了酒店预订的相关信息，特征包括酒店名称、是否取消、预订提前时间、到达年份、到达月份、到达周数、到达月份中的日期、周末夜数、工作日夜数、成人数量、儿童数量、婴儿数量、餐饮类型、国家、市场细分、分销渠道、是否为回头客、之前的取消次数、之前未取消的预订次数、预订的房间类型、分配的房间类型、预订变更次数、押金类型、代理商编号、公司编号、等待名单中的天数、客户类型、平均每日房价、所需停车位数量、特殊请求总数、预订状态和预订状态日期等。数据集分为训练集，共有119390个样本。

The dataset contains information related to hotel bookings, including features such as hotel name, cancellation status, lead time, arrival year, arrival month, arrival week number, day of the month of arrival, number of weekend nights, number of week nights, number of adults, number of children, number of babies, meal type, country, market segment, distribution channel, whether it is a repeat guest, previous cancellations, previous bookings not canceled, reserved room type, assigned room type, booking changes, deposit type, agent ID, company ID, days in waiting list, customer type, average daily rate, required car parking spaces, total special requests, reservation status, and reservation status date. The dataset is split into a training set, which contains a total of 119390 samples.