With the improving banking sector in recent times and the increasing trend of taking loans, a large population applies for bank loans.This paper does a comprehensive and comparative analysis between two algorithms (i) Random Forest, and (ii) Decision Trees.Both the algorithms have been used on the same dataset and the conclusions have been made with results showing that the Random Forest algorithm outperformed the Decision Tree algorithm with much higher accuracy.