Description
What distinguishes “true artists” from “one-hit wonders” in machine learning is an understanding of how a model performs with respect to different data. This hands-on tutorial will show you how to use scikit-learn’s model evaluation functions to evaluate different models in terms of accuracy and generalisability, and search for optimal parameter configurations.