Competetion in HackerEarth conducted by American Express on HackerEarth Platform
Credit card Default risk is the chance that companies or individuals will not be able to return the money lent on time.
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.
Evaluation Metrics is: score: 100 * (metrics.f1_score(actual, predicted, average="macro"))
- Logistic Regression: 84.85652
- Random Forest: 89.27377
- Artificial Neural Networks: 87.46621
- XGBoost Model: 91.15589