Table 5 provides an overview of the odds of the features and how they affect fraud. Note that the initial balance of the recipient before the transaction and transfer type have the highest odds of predicting fraud. Therefore, these two features are important when trying to predict fraud. However, we should also consider other factors, such as the amount of money being transferred, the country where the recipient is located, and whether or not the recipient has a bank account. These features can provide additional insights into whether or not a transaction is fraudulent 40. For instance, if the amount of money being transferred is very large, it is more likely to be fraudulent. Similarly, this is another red flag if the recipient is located in a country with a high risk of fraud.
Table 5: Odds of the Features Occurring