Get and upload example training data

1. Download the following file, unzip and use one of the sample CSV files that contain fictitious, synthetically generated training data.

   Download: Training_Data.zip.

   This zip file contains two files of synthetic registrations that you can use to train a model. The dataset registration_data_20K_minimum contains only two variables: ip_address and email_address. The dataset registration_data_20K_full contains additional variables for each event such as billing_address, phone_number, and user_agent. Both datasets also contains two mandatory fields:

   • EVENT_TIMESTAMP – Defines when the event occurred

   • EVENT_LABEL – Classifies the event as fraudulent or legitimate

2. Create an Amazon S3 bucket:

   1. Sign in to the AWS Management Console and open the Amazon S3 console at https://console.aws.amazon.com/s3/.

   2. Choose Create bucket, and perform the steps to create your bucket. You must choose an AWS region where Amazon Fraud Detector is currently available: US East (N. Virginia), US East (Ohio), US West (Oregon), Europe (Ireland), Asia Pacific (Singapore) or Asia Pacific (Sydney).

      For this exercise, the generic name bucket-name is used. You must rename your bucket because Amazon S3 bucket names must be globally unique.

3. Upload a training data file (that is, one of the .csv files listed previously) to your Amazon S3 bucket.

   Note the Amazon S3 location of your training file (for example, s3://bucketname/path/to/some/object.csv) and your role name. For details about formatting your dataset file, see Preparing training data.