ING Modeling Challenge
Lion's Den ING Modeling Challenge was a 2-phase competition focused on data analysis and risk modeling.
14 teams were competing during on-site event on May 16-17, 2018.
The best projects were chosen based on the jury criteria as follows:
- Innovation and creativity of the solution
- Proper analysis of data
- Business potential
- Formula and presentation method
- 4 Winners
- 14 Projects
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