Evaluating Oversampling Techniques in Financial Credit Risk Prediction: A Dataset Characteristic-Based Approach

Keyphrases

• Credit Risk 100%
• Data Characteristics 100%
• Characteristic-based 100%
• Oversampling Technique 100%
• Credit Risk Prediction 100%
• Financial Data 62%
• Machine Learning Models 25%
• Evaluation Metrics 25%
• Fraud Transaction 25%
• Financial Markets 12%
• Statistical Methods 12%
• Benchmark Dataset 12%
• Valuable Insight 12%
• Training Model 12%
• Financial Risk 12%
• F1 Score 12%
• Class Imbalance 12%
• Economic Impact 12%
• Precision-recall 12%
• Normality 12%
• Financial Loss 12%
• Synthetic Samples 12%
• Minority Class 12%
• Class Imbalance Problem 12%
• False Discovery Rate 12%
• Ratio Distribution 12%
• Data Pattern 12%
• Imbalanced Issue 12%
• Credit Card Fraud Detection 12%
• Class Distribution 12%
• Time Series Characteristics 12%
• Credit Approval 12%
• Class Ratio 12%
• Machine Learning Evaluation 12%
• Financial Benchmarks 12%
• Credit Card Fraud 12%

Computer Science

• Machine Learning 100%
• Evaluation Metric 66%
• Experimental Result 33%
• Detection Rate 33%
• Generalizability 33%
• Financial Data 33%
• Class Imbalance Problem 33%
• Minority Class 33%
• Fraud Detection 33%
• Class Distribution 33%
• Data Normality 33%