ING Modeling Challenge
2nd Prize 7.500 PLN
TWO AND A HALF MAN
Jan Lisicki, Kamil Niedźwiedzki, Hubert Ratajczyk
In our solution we have benchmarked industry standard in credit risk modelling - Logistic Regression, against machine learning algorithms: XGboost and Random Forest. Judgeing by models ablility to differentiate beetween good and bad risks we choosen Random Forest as best solution to the problem.
3rd Prize 5.000 PLN
Vit Brunner, Tomasz Limisiewicz, Quoc Minh Tai