Data Science Project
Machine Learning Classification
Problem
In this project, we are building classifier to predict whether a loan case will be paid off or not. we will load a historical dataset from previous loan applications, clean the data, and apply different classification algorithm on the data. we will use following algorithms to build our 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