You load a historical dataset from previous loan applications, clean the data, and apply different classification algorithm on the data. You are expected to use the following algorithms to build your models:
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