"The best classifier" assignment from Machine Learning with Python course by IBM in Coursera
Loads a historical dataset from previous loan applications, cleans the data, and applies different classification algorithm on the data. The following algorithms are used to build the models:
k-Nearest Neighbour
Decision Tree
Support Vector Machine
Logistic Regression
The results are reported as the accuracy of each classifier, using the following metrics when these are applicable:
Jaccard index
F1-score
LogLoss