Predicting creditworthiness in retail banking with limited scoring data

Business & Economics

• Creditworthiness 100%
• Neural Networks 96%
• Retail Banking 96%
• Cascade 95%
• Scoring 85%
• Receiver Operating Characteristic Curve 56%
• Scoring Model 53%
• Robustness Test 49%
• Gini Coefficient 46%
• Classification and Regression Trees 30%
• Logistic Regression 28%
• Credit Scoring 25%
• Credit Policy 24%
• Evaluation Criteria 21%
• Knowledge-based 18%
• Financial Sector 18%
• Sensitivity Analysis 18%
• Banking Sector 17%
• Decision Making 17%
• Prediction 16%
• Functioning 16%
• Guarantee 16%
• Decision-making Process 15%
• Expenses 15%
• Loans 15%
• Developed Countries 14%
• Developing Countries 12%
• Modeling 11%
• Performance 7%

Engineering & Materials Science

• Banking 91%
• Neural networks 48%
• Decision making 28%
• Logistic regression 22%
• Developing countries 21%
• Sensitivity analysis 17%