Data Set Background (Questions 1 to 5) Fraud Detection in On…
Data Set Background (Questions 1 to 5) Fraud Detection in Online TransactionsThis dataset simulates online transaction records, predicting whether a transaction is fraudulent.This dataset is without replications. Features: **Transaction_Amount (Numerical):** Transaction amount in USD (5-10,000) **Transaction_Hour (Numerical):** Hour of the day when the transaction occurred (0-23) **Payment_Method (Categorical):** Credit Card, Debit Card, PayPal, Crypto **Device_Type (Categorical):** Mobile, Desktop, Tablet **Location_Match (Categorical):** Yes, No (whether transaction location matches the user’s registered location) **Previous_Frauds (Numerical):** Number of previous fraudulent transactions by the user (0-5) **Account_Age_Days (Numerical):** Age of the account in days (1-5000) **International_Transaction (Categorical):** Yes, No **Fraudulent (Binary Output):** Whether the transaction was fraudulent (1 = Yes, 0 = No) (Response variable)