In this project, we try to predict the possibility of canceling the plane ticket by the buyer
This project is completely written in Python
The data set contains 101017 rows, the description of each column is given in the table below
| Column | Description |
|---|---|
| Created | Ticket registration time |
| CancelTime | When the passenger canceled the ticket |
| DepartureTime | Time to move |
| BillID | Purchase ID |
| TicketID | Ticket ID |
| ReserveStatus | Customer payment status |
| UserID | UserID |
| Male | Does the ticket belong to a woman or a man |
| Price | Ticket price without discount |
| CouponDiscount | Discount applied by the person on the ticket |
| From | Origin of travel |
| To | Travel destination |
| Domestic | Is the trip domestic or foreign |
| VehicleType | Specifies the details of the car |
| VehicleClass | Is it a first class vehicle or not |
| Vehicle | Vehicle type |
| HashPassportNumber_p | HashPassport |
| HashEmail | HashEmail |
| BuyerMobile | BuyerMobile |
| NationalCode | NationalCode |
| TripReason | Reason for travel |
| Cancel | Is the ticket canceled or not |
In this project, the accuracy of the model reaches 99%