nicola_ruch

Teams

Dribs

Other than that, the data is too bad for further analitics. But more data we cannot provide (monopole). Challenge aborted...

2 years ago

Results were not new: High contacts result in a high chance of bad bonity. The best paying customers use e-Bill or auto-payment.

2 years ago

The most valuable attributes were the amount of contacts to customer center, the Bonity-Index and the Billing-Type.

2 years ago

The original file (anonymized customer data) was analyzed on BigML using random forest.

2 years ago

Since the original challenge 05 and 09 was not accepted, we sat together thinking of what we can do with the ressources we had.

2 years ago

Unfortunately, the challenge was at first not accepted by hackers. So we connected together with the Project Owner of Challenge 5.

2 years ago

Certificate icon by Gregor Cresnar - CC BY 3.0