In this chapter, we looked at the following topics:
Ensemble methods
Bagging
AdaBoost
Random forests
BBN, which provides a topology model of causal relationship; it is an eager learner.
Tip
An eager learner is one that behaves in an opposite way to the lazy learner. The lazy learner postpones the learning until the test tuple or test instance is provided.
The kNN algorithm, which is a lazy learner
SVM, by which the original data is transformed to a higher dimension, and is separated with a hyper-plane; it is an eager learner
Classification using frequent patterns; this is an eager learner
Classification using the BP algorithm, which is a neural network trained with a descent gradient
In the next chapter, we will learn the clustering algorithm, which is also a kind of unsupervised classification with no predefined labels.