So, you have a machine learning model! Congratulations! Now what? Well, as I always remind colleagues, there is no such thing as a perfect model, only good enough ones.
Ensuring that your machine learning model is robust and can generalise well is an important task. This is where cross-validation can help. Take a look at the blog post I wrote for the Domino Data Science Blog.
