Random Forest Algorithm in Python from Scratch

The intuition behind the random forest algorithm can be split into two big parts: the random part and the forest part. Let us start with the latter. A forest in real life is made up of a bunch of trees. A random forest classifier is made up of a bunch of decision tree classifiers (here and throughout the text -- DT). The exact amount of DTs that make up the whole forest is defined with the n_estimators variable mentioned earlier.