A DEA and Random Forest Regression Approach to Studying Bank Efficiency and Corporate Governance

Business & Economics

• Assets 7%
• Bank Efficiency 68%
• Board Characteristics 17%
• Board Independence 48%
• Board Size 31%
• Corporate Governance 85%
• Costs 5%
• Data Envelopment Analysis 22%
• Duality 29%
• Equity 15%
• Gender Diversity 33%
• Machine Learning 18%
• Ownership 12%
• Pioneering 14%
• Policymaker 11%
• Profit Efficiency 54%
• Return on Assets 14%

Mathematics

• Banks 67%
• Cost Efficiency 30%
• Costs 6%
• Data Envelopment Analysis 27%
• Duality 14%
• Equity 13%
• Estimate 4%
• Gender 25%
• Governance 100%
• Independence 24%
• Machine Learning 10%
• Model 3%
• Profit 31%
• Random Forest 80%
• Regression 42%
• Regulator 10%

Engineering & Materials Science

• Banking 62%
• Costs 8%
• Data envelopment analysis 21%
• Machine learning 5%
• Profitability 20%
• Random forests 58%