Lab:  Classify Using Frequency-Severity Modeling

Lab: Classify Using Frequency-Severity Modeling

Use Case: Credit Card Fraud

About this Mission

On this mission, you'll use a strategy called Frequency-Severity modeling to classify fraudulent credit card transactions. You’ll create a blender model and compare models using the Model Comparison tool. 

Mission format and duration: self-paced, hands-on, 1 hour

Upon completion of this mission, you will be able to: 

  • Build a fraud-detection regression model using Frequency-Severity modeling
  • Compare modeling algorithms using the Model Comparison and Feature Insights tools
  • Create a blender model

Who should complete this mission?

  • Business Analysts
  • Citizen Data Scientists
  • Data Scientists

Before embarking on this mission, you should complete one of the following:

Technical requirements

  • Chrome browser
  • DataRobot Automated Machine Learning — If you don’t have access to the application, please sign up for our free trial: datarobot.com/trial.

 

Action Items1 hr

  • Complete the Lab
  • Give Us Your Feedback
  • Resources
  • Datasets
  • Comparing Models

About this Mission

On this mission, you'll use a strategy called Frequency-Severity modeling to classify fraudulent credit card transactions. You’ll create a blender model and compare models using the Model Comparison tool. 

Mission format and duration: self-paced, hands-on, 1 hour

Upon completion of this mission, you will be able to: 

  • Build a fraud-detection regression model using Frequency-Severity modeling
  • Compare modeling algorithms using the Model Comparison and Feature Insights tools
  • Create a blender model

Who should complete this mission?

  • Business Analysts
  • Citizen Data Scientists
  • Data Scientists

Before embarking on this mission, you should complete one of the following:

Technical requirements

  • Chrome browser
  • DataRobot Automated Machine Learning — If you don’t have access to the application, please sign up for our free trial: datarobot.com/trial.

 

Action Items1 hr

  • Complete the Lab
  • Give Us Your Feedback
  • Resources
  • Datasets
  • Comparing Models