Coursera_IBM_Machine_Learning_with_Python_Project Peer-graded Assignment: The best classifier 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