Cost Complexity Pruning in Decision Trees

This article was published as a part of the Data Science Blogathon. Decision Tree is one of the most intuitive and effective tools present in a Data Scientist's toolkit. It has an inverted tree-like structure that was once used only in Decision Analysis but is now a brilliant Machine Learning Algorithm as well, especially when we have a Classification problem on our hands. These decision trees are well-known for their capability to capture the patterns in the data. But, excess of anything is harmful, right?