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