h2oai/wave-apps

Use Case Updates for Churn Risk

mtanco opened this issue · 0 comments

  • Update the churn_predictor class to be dataset agnostic. It should take any required, data-specific features as parameters so that it is easy for end users to use the class for their own datasets.
  • Use the Insurance Churn dataset instead of Telco - H2O has more than one demo application using the Telco Churn dataset and it would be nice to show a different industry. https://www.kaggle.com/ycanario/home-insurance
  • Confirm that MLI is working as expected on a new dataset