In this dataset, each entry represents a person who takes a credit by a bank. Each person is classified as good or bad credit risks according to the set of attributes.
The selected attributes are:
- Age
- Sex
- Job
- Housing (own, free, or rent)
- Saving accounts (little, moderate, quite rich, rich)
- Checking accounts
- Credit amount
- Duration
- Purpose (car, furniture/equipment, radio/TV, domestic appliances, repairs, education, business, vacation/others)
| Algorithm | Accuracy |
|---|---|
| Random Forest Classifier | 75.6% |