How do you know if your model is going to work? Part 4: Cross-validation techniques
Win-Vector Blog 2015-10-13
Summary:
Authors: John Mount (more articles) and Nina Zumel (more articles). In this article we conclude our four part series on basic model testing. When fitting and selecting models in a data science project, how do you know that your final model is good? And how sure are you that it’s better than the models that … Continue reading How do you know if your model is going to work? Part 4: Cross-validation techniques