ML basics - Hands on: Tune the model
Hello, I am working on the hands-on exercise for tuning a model and i need to understand something.. why do we need to re-balance the model? where Dataiku DSS has already divided our samples into 80% and 20% why do we need to do this step and how to make a decision to choose which sampling method i need to do?