Super Market Sales

Here's a brief description of each of the attributes or labels in the dataset:

1. Invoice ID: A unique identifier for each invoice or transaction.
2. Branch: The branch or location where the transaction occurred.
3. City: The city where the branch is located.
4. Customer Type: Indicates whether the customer is a regular or new customer.
5. Gender: The gender of the customer.
6. Product Line: The category or type of product purchased.
7. Unit Price: The price of a single unit of the product.
8. Quantity: The number of units of the product purchased.
9. Tax 5%: The amount of tax (5% of the total cost) applied to the transaction.
10. Total: The total cost of the transaction, including tax.
11. Date: The date when the transaction took place.
12. Time: The time of day when the transaction occurred.
13. Payment: The payment method used (e.g., credit card, cash).
14. COGS (Cost of Goods Sold): The direct costs associated with producing or purchasing the products sold.
15. Gross Margin Percentage: The profit margin percentage for the transaction.
16. Gross Income: The total profit earned from the transaction.
17. Rating: Customer satisfaction rating or feedback on the transaction.

For instance, if you were interested in predicting customer satisfaction, Rating might be a suitable label. If you were trying to predict sales or revenue, Total or Gross Income could be a potential label.