Using a data set that gave person and whether they qualified for a loan. The variables included were a person’s age, income, credit score, gender, occupation, education level, and marital status. I found the best value for the minimum split and the highest using the decision tree algorithm; and also found the lowest node probability. Lastly, I used the four examples from the dataset and predicted whether they would qualify for the loan or not.