Understanding Train Test Split (Scikit-Learn + Python)

What a train test split is, how to use it to tune models using Python, and the bias-variance tradeoff.

This tutorial goes over the train test split procedure and how to apply it in Python. Image by Michael Galarnyk.

A goal of supervised learning is to build a model that performs well on new data. If you have new data, it’s a good idea to see how your model performs on it. The problem is that you may not …

machine learning model-validation python scikit-learn test train-test-split understanding