Unsupervised Learning, Supervised Learning, Machine Learning, Artificial Intelligence.
such because it is essentially a group of decision trees! With a random forest algorithm, the training model learns to predict the values of a target variable by learning the rules for making a decision. These decisions can be represented as a tree, with each branch leading to a decision node. Each