Again, if we were working a real project, this step or phase (of the project) would include a much deeper review of each model's performance results and, perhaps, would require the decision to even return back to the data exploration and transformation phase. However, for the sake of time, we'll move forward.

Since we've now seen some simple ways for creating and, at least, superficially judging each model's performance (as far as accuracy), we will move on to the last section of this chapter and look at an example of visualizing a selected model using Python commands.