Application Score
Assessment of default probability based on the borrower’s application data.
This decision is particularly useful for assessing the risk of issuing a credit to borrowers whose credit history is either uninformative or absent.

Model development;
API development and implementation;
10,000 free reports for testing;
Monthly monitoring of the quality of model distribution;
Model calibration during one year after implementation, in case of distribution changes.
To build an individual scoring, the following is required:
Sample for model training. The required number of records is 10,000 or more;
Sample markup into «good» and «bad»;
Description of the business process for scoring application;
Description of data for model training.
Details and terms of development are negotiated individually.
https://secure.ubki.ua:4040/b2_api_xml/ubki/xml
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