We will now list a set of questions to test your knowledge of what you have learned so far:
- What do you understand by logistical regression? Why is it important?
- How does logistical regression differ from linear regression?
- Name one powerful feature of BinaryClassifier.
- What are the feature variables in relation to the breast cancer dataset?
The breast cancer dataset problem is a classification task that can be approached with other machine learning algorithms as well. Prominent among other techniques are Support Vector Machine (SVM), k-nearest neighbor, and decision trees. When you run the pipelines developed in this chapter, compare the time it took to build a model in each case and how many of the input rows of the dataset were classified correctly by each algorithm.
This concludes this chapter. The next chapter implements a new kind of pipeline, which is a stock...
