Standard Bank Tech Impact Challenge: Xente credit scoring challenge
2000 Zindi Points
Can you predict the likelihood of credit default of ecommerce clients?
30 August–1 December 2019 23:59
334 data scientists enrolled, 96 on the leaderboard
Tutorial to get started.
published 10 Nov 2019, 19:55

Hi, are you running your model raw by raw?

I noticed that some customer ids and transactional ids keep repeating them self , and what AUC or ROC do you get on Xgboost so far i have used random forest and logistic and im not happy with the score ..