Implementation steps

A good way to start is to download the skeleton SBT project archive file from the ModernScalaProjects_Code folder. 

The step-by-step instructions are as follows:

1. EDA on the testing (cross-validation) dataset.
2. Calculate the probability densities.
3. Generate a fraud detection model.
4. Generate scores that measure the accuracy of the model:
   • Compute the best F1 score
   • Compute the best error term
5. Calculate outliers by repeatedly having the model generate predictions over each value of error term in a range. 

We will create a FraudDetection trait now.

Create the FraudDetection trait

In an empty FraudDetectionPipeline.scala file, add in the following imports. These are imports that we need for Logging...