Classifier to predict whether a loan case will be paid off

Final Assignment

In this project a classifier is build to predict whether a loan case will be paid off or not.

The historical dataset from previous loan applications is cleaned and then, different calssification algorithm are applied, such as:

• k-Nearest Neighbour
• Decision Tree
• Support Vector Machine
• Logistic Regression

The results is reported as the accuracy of each classifier, using the following metrics when these are applicable:

• Jaccard index
• F1-score
• LogLoass

Libraries requiered:

• Itertools
• Numpy
• Matplotlib
• Pandas
• Sklearn
• Seaborn

Files requiered:

• loan_train.csv
• loan_test.csv