Building the Model and Reporting
In the preceding chapters, I introduced the individual steps of the DOPA process. It is finally time to put it all together, build the model, and report the results. As I have repeated throughout the book, the DOPA process is dynamic. You essentially create a new, unique predictive model with each execution of the code by altering the model inputs as you refine your tuning efforts. It is also versatile because the data can be subset in such a way that it makes the analysis easy and clearly shows the metrics that enable you to discover the cause of the performance problem.