Other than that, the data is too bad for further analitics. But more data we cannot provide (monopole). Challenge aborted...
Results were not new: High contacts result in a high chance of bad bonity. The best paying customers use e-Bill or auto-payment.
The most valuable attributes were the amount of contacts to customer center, the Bonity-Index and the Billing-Type.
The original file (anonymized customer data) was analyzed on BigML using random forest.
Since the original challenge 05 and 09 was not accepted, we sat together thinking of what we can do with the ressources we had.
Unfortunately, the challenge was at first not accepted by hackers. So we connected together with the Project Owner of Challenge 5.