Low-Code AI (for True Epub) by Gwendolyn Stripling and Michael Abel

Author:Gwendolyn Stripling and Michael Abel
Language: eng
Format: epub
Publisher: O'Reilly Media, Inc.
Published: 2023-06-15T00:00:00+00:00

Figure 2-17. Model testing with predictions and local feature importances.

For the model shown in Figure 2-17, the “Confidence score” is the predicted probability. In this case, it gives a 91 percent chance of the transaction being fraudulent. Based on the conversation from before around evaluation metrics and thresholds, this transaction would be marked as fraudulent. You can also see the local feature importances. The highest feature importance value corresponds to the oldbalanceOrg feature. In this case, there is a CASH_OUT transaction for the exact balance of the account with 1,000,000 dollars in it. Based on your model, there is a high chance that this transaction is fraudulent.

As an exercise, explore different combinations of feature values and see what the predicted probabilities and corresponding feature attributions are.

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