Credit Card Default Risk - AmExpert CodeLab

Competetion in HackerEarth conducted by American Express on HackerEarth Platform

About the Problem and Task:

Credit card Default risk is the chance that companies or individuals will not be able to return the money lent on time.

Task:

We are given relevant information about the customers of a company. And we're required to build a Machine Learning Model that can predict if there will be CREDIT CARD DEFAULTERS.

Data Description:

Evaluation Metrics is: score: 100 * (metrics.f1_score(actual, predicted, average="macro"))

We got the scores from each of the model as given below:

1. Logistic Regression: 84.85652
2. Random Forest: 89.27377
3. Artificial Neural Networks: 87.46621
4. XGBoost Model: 91.15589