Financial institutions usually use statistical models to estimate credibility of applicants for a loan. Applicant with the higest risk are declined, those who are appoved can be assigned different available product parameters based on their score.
Using provided data set, create a logistic regression model, that will serve for assessment of applicants creditbility. Quality of the model will be measured by its separation power - Gini coefficient.
To pass the competition sucessfully, competitiors should reach Gini higher than 47 Gini on the undisclosed sample.