Modern Scala Projects

Random Forest classification algorithm

In a preceding section, we noted the crucial role played by the input or training dataset. In this section, we reiterate the importance of this dataset. That said, the training dataset from an ML algorithm standpoint is one that the Random Forest algorithm takes advantage of to train or fit the model by generating the parameters it needs. These are parameters the model needs to come up with the next best-predicted value. In this chapter, we will put the Random Forest algorithm to work on training (and testing) Iris datasets. Indeed, the next paragraph starts with a discussion on Random Forest algorithms or simply Random Forests.

A Random Forest algorithm encompasses decision tree-based supervised learning ...