An In-Depth Comparative Analysis of Machine Learning Techniques for Addressing Class Imbalance in Mental Health Prediction

Keyphrases

• Comparative Analysis 100%
• Machine Learning Techniques 100%
• Class Imbalance 100%
• Mental Health Prediction 100%
• Technique Analysis 33%
• Early Diagnosis 33%
• Mental Health 33%
• Resampling 33%
• Random Forest 33%
• Performance Metrics 33%
• Unequal Distribution 33%
• Diagnosis Treatment 33%
• Mental Disorders 33%
• Mental Illness 33%
• Ensemble Methods 33%
• Precision-recall 33%
• Mental Health Care 33%
• Accuracy Score 33%
• Machine Learning Applications 33%
• Balanced Accuracy 33%
• Training Model 33%
• Imbalanced Data 33%
• F1 Score 33%
• Recall Score 33%
• Model Effectiveness 33%
• Geometric Mean 33%
• Valuable Insight 33%
• Precision Score 33%
• Individualized Treatment 33%
• Health Datasets 33%
• Biased Models 33%
• Open Sourcing 33%

Computer Science

• Machine Learning Technique 100%
• Comparative Analysis 100%
• Class Imbalance 100%
• Random Decision Forest 33%
• Performance Metric 33%
• Ensemble Technique 33%
• Training Model 33%
• Treatment Strategy 33%
• Machine Learning 33%
• Learning System 33%