This is a binary classification model using the XGBoost algorithm to predict the risk of approving a loan.
The file is separated in three easy steps:
- Create an Estimator - copy paste the code under STEP 1. The code will run for a few minutes and will end up with a success message:
- Deploy the Estimator - copy paste the code under STEP 2, is actually just one line of code to deploy the model, and an optional second line to validate that the Estimator exists
- Run predictions - copy paste the code under STEP 3. The model is now deployed and ready to make predictions. The model will return the probability, in this case a 99% that the loan should be approved:
