Credit Score Prediction
Quick StartCustom AI
The credit score prediction model reduces exposure to credit risk and loss by identifying applicants who are at high risk of default and have no credit value but do not have an extensive credit history in case they can cause events (e.g., bankruptcy, default, etc)
Using the collected customer data (the customer's income status, credit history, payment levels, and other metrics) to make a credit score prediction, it is possible to accurately assess risk while simplifying credit approval. It has higher accuracy and recall rates than traditional credit scoring models and will play an important role in financial risk management systems.
Main function
1. Credit Score Prediction
- Simplify credit approval through credit score prediction
- Improve credit score accuracy through credit score verification
- Predict the customers' missing credit score
- Financial risk control by predicting customers who will default on payment
2. Data Security System
- Thorough data security through security processing
3. Providing various services
- Interlocking between apps, web and programs is possible by providing various programming languages
API Summary
| Data | Data type | Content | Use mode |
|---|---|---|---|
| Input data | CSV | Customer data : personal information, income status, credit history, payment level, etc. | API |
| Output data | CSV | Customer credit score prediction | API |
Application procedure
| Payment | Subscription method |
Attached file upon application |
|---|---|---|
| Prepaid charge |
Online | Customer data required for model creation |
| Application procedure |
|---|
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