ML-Project-Classification-Model-Comparison

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:

1. k-Nearest Neighbour
2. Decision Tree
3. Support Vector Machine
4. Logistic Regression

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

1. Jaccard index
2. F1-score
3. LogLoass