Description
I wanted to write this article because I think a lot of people tend to overlook the validation and testing stage of machine learning. Similar to experimental design, it’s important that you spend…
Summary
- A comprehensive guide to four popular cross validation techniques I wanted to write this article because I think a lot of people tend to overlook the validation and testing stage of machine learning.
- Similar to experimental design, it’s important that you spend enough time and use the right technique(s) to validate your ML models.
- It allows me to interactively test different inputs into the model.
- The execution is relatively quick in comparison to other methods.