Measuring Classifier Model Performance

This is Day 28 of the #100DaysOfPython challenge. This post will take the work that was done yesterday in the blog post "First Look At Supervised Learning With Classification" and introduce the concept of training/test sets and output a graph for us to interpret the accuracy of the k-nearest neighbors classifier. At this stage, we will need to bring across our initial code from yesterday's post. The above code was introduced previous. From here on out, we want to create a training and test set for our classifier.