Hyper-parameter tuning can help you get the best performance out of your model — When training your machine learning model, creating a baseline, or “vanilla” model without any specific tuning is most often the protocol. We do this to benchmark how well our model will perform on our data. So when we tune the hyperparameters, we can tell if improvements are being made. …