Binary Classification on Imbalanced Data: A Case Study for Birth Events in Indonesia

Keyphrases

• Binary Classification 100%
• Indonesia 100%
• Imbalanced Data 100%
• Birth Events 100%
• Evaluation Metrics 75%
• Support Vector Machine Classifier 75%
• Oversampling Technique 75%
• Demographic Survey 50%
• Health Surveys 50%
• Logistic Regression 50%
• Area under the Curve 50%
• Geometric Mean 50%
• F1 Score 50%
• Near Miss 50%
• Regression Vectors 50%
• Evaluation Score 50%
• Logistic Support 50%
• Data Distribution 25%
• Hybrid Method 25%
• Classification Results 25%
• Class Imbalance 25%
• Balanced Data 25%
• Machine Learning Algorithms 25%
• Rebalance 25%
• Logistic Regression Classifier 25%
• Resampling Methods 25%
• Class-imbalanced Data 25%
• Undersampling 25%
• Imbalanced Classification 25%
• Data-driven Approach 25%

Computer Science

• Support Vector Machine 100%
• Case Study 100%
• Evaluation Metric 100%
• Logistic Regression 100%
• Imbalanced Data 100%
• Binary Classification 100%
• Logistics Support 66%
• Data Distribution 33%
• classification result 33%
• Class Imbalance 33%
• Machine Learning Algorithm 33%
• Driven Approach 33%
• Hybrid Technique 33%

Mathematics

• Logistic Regression 100%
• Support Vector Machine 100%
• Binary Classification 100%
• Logistics Support 66%
• Oversampling 66%
• Geometric Mean 66%
• Data Distribution 33%
• Balanced Data 33%