Decision Trees and Random Forest

A very popular algorithm, in Machine Learning, is the Decision Tree Classifier. In this article, the Banknote dataset will be used to illustrate the capabilities of this model. A decision tree is a basic machine learning algorithm that can be used for classification problems. From a high level, a decision tree starts with a basic statement at the top of the tree, and then based on if that statement is True or False, it will then move down a different path to the next condition. This will then continue throughout the duration of the model.