High-fidelity Fraudulent Activity 2023

context

my data set is based on credit card fraud using the loyalty card machine where the machines are made available counterfeit, generating losses for both the establishment and the buyer because by counterfeiting the machine they reuse it to make withdrawals in certain locations and thus businesses do not receive their money and the customer does not receive the product because they are deceived by not receiving payment and these data sets were made available worldwide to base the amount that has been defrauded in the year 2023 to date.

Column Details

ID:
This is likely a unique identifier for a specific credit card transaction. It helps in keeping track of individual transactions and distinguishing them from one another.

V1-V28:
These are possibly features or attributes associated with the credit card transaction. They might include information such as time, amount, location, type of transaction, and various other details that can be used for analysis and fraud detection.

Amount:
This refers to the monetary value involved in the credit card transaction. It indicates how much money was either charged or credited to the card during that particular transaction.

Class:
This is an important attribute indicating the category or type of the transaction. It typically classifies transactions into different groups, like 'fraudulent' or 'legitimate'. This classification is crucial for identifying potentially suspicious or fraudulent activities.