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