Credit Scoring App
The Credit Scoring App is designed to determine the creditworthiness of an individual applying for a loan. It takes a set of input variables and uses a deployed "Credit Scoring Model- Decision Tree" workflow as a service to make predictions. This workflow is deployed on KNIME Business Hub as a data app, providing an easy-to-use interface for users to assess their credit eligibility.
Workflow Steps:
The workflow begins when a user accesses the Credit Scoring App through the KNIME Business Hub.
The user is presented with a user-friendly interface to input their personal information.
User Input Collection:
Collect input variables from the user, which are required for credit scoring:
1. Gender
2. Home Ownership
3. Education
4. Marital Status
5. Income
6. Age
7. Number of Children
Construct a JSON body with the user-provided input variables.
Nodes
- Text Output Widget12 ×
- Text Output9 ×
- CSS Editor8 ×
- Table Row to Variable8 ×
- Inject Variables (Data)5 ×
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Extensions
- FeatureKNIME Base nodes
- FeatureKNIME Column Expressions (Labs)
- FeatureKNIME JavaScript Views
- FeatureKNIME JavaScript Views (Labs)
- FeatureKNIME Javasnippet
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