Step 3: Configure training and train model - Amazon Fraud Detector

Step 3: Configure training and train model

  1. In Model inputs, leave all checkboxes checked. By default, Amazon Fraud Detector will use all variables from your historical event dataset as model inputs.

  2. In Label classification, for Fraud labels choose fraud as this label corresponds to the value that represents fraudulent events in the synthetic dataset. For Legitimate labels, choose legit as this label corresponds to the value that represents legitimate events in the synthetic dataset.

  3. Choose Next.

  4. After reviewing, choose Create and train model. Amazon Fraud Detector will:

    • Create the model output variable that can be used to write rules

    • Create the model

    • Begin to train a new version of the model

    Model training using the example training data set takes approximately 45 minutes to complete.