Best classifier project Now we use different Machine Learning algorithms over the course of five weeks to practice and apply it on a dataset. In this project, we will complete a notebook where we will build a classifier to predict whether a loan case will be paid off or not.
we load a historical dataset from previous loan applications, clean the data, and apply different classification algorithm on the data. we are expected to use the 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