You just finished building a predictive solution in this case study. You started the chapter by defining and understanding the problem. You acquired the dataset, which in this case is the sample dataset available in ML Studio. Then, you proceeded to perform data exploration and preparation before building the predictive model. You used the boosted decision tree to build the model. After running the experiment successfully, you created a scoring experiment and used a saved trained model in it. Finally, you published the experiment as a web service and tested it.

In the next chapter, you are going to learn to build your own models, with another case study where you would solve a regression problem.