It’s important to know how well your models are likely to work in the real world. In this article I’ll be discussing basic testing procedures for classification problems such as generating receiver operating characteristics and confusion matrices as well as performing cross validation. We’ll also take a look at the effect of over-fitting and under-fitting models.Continue reading Classification Validation