Predicting and explaining corruption across countries: A machine learning approach

Keyphrases

• Machine Learning Approach 100%
• Corruption 100%
• Machine Learning Algorithms 66%
• Classification Model 66%
• Prediction Accuracy 66%
• Consequences of Corruption 66%
• Administrators 33%
• Politicians 33%
• Support Vector Machine 33%
• Statistical Analysis 33%
• Effectiveness Evaluation 33%
• Regression-based Method 33%
• Machine Learning Techniques 33%
• Big Data Analytics 33%
• Predictive Analytics 33%
• Granularity Level 33%
• Artificial Neural Network 33%
• Predictive Power 33%
• Random Forest 33%
• Corruption Level 33%
• Corruption Perception 33%
• Education Index 33%
• Government Integrity 33%
• Judicial Efficiency 33%
• Big Data Era 33%
• Actionable Insights 33%
• Source Databases 33%
• Property Rights 33%
• Multi-source 33%
• Judicial Instructions 33%
• Correlation-based 33%
• Data Science 33%
• Multi-class Classification 33%
• Modernity 33%
• Nonlinear Model 33%

Computer Science

• Nonlinear Model 50%