Analytics for the Internet of Things (IoT)

Random forest key concepts

Random forest is a decision tree-based ML modelling process. Decision trees predict target variables by growing a hierarchy of successive splits across input features, based on the information gain of each split. If this sounds confusing, just think of it as a series of decision rules that result in a prediction at the end. The following diagram may help explain the idea:

Decision tree ID3 algorithm simple diagram. Source: Wikimedia commons

Random forests take this concept a step further by introducing randomness and repetition. From the original training set, a random variation of the training set is created by ...