Historical data from the past year shows approximately 481,000 order items, which can be used to develop a model for predicting returns. The target attribute, "returnShipment," indicates the status of each order item. A value of "0" signifies that the item is kept, while a value of "1" indicates that the item is returned. For the purchases made in one month, which account for about 50,000 order items, we aim to assess whether each item will be returned or not.

## Files

*   **train.csv** - the training set
*   **test.csv** - the test set
*   **sample_submission.csv** - a sample submission file in the correct format

## Columns

*  `id` - observation id
*  `orderDate` - order date
*  `deliveryDate` - Delivery date
* `itemID` - item ID
* `size` - size of the item
* `color` - color of the item
* `manufacturerID` - Manufacturer ID
* `price` - price of the item
* `customerID` - customer ID
* `salutation` - salutation of the customer
* `dateOfBirth` -  customer's date of birth
* `state` - federal state of the customer
* `creationDate` -  date of account creation
* `returnShipment` - return 0/1