An In-Depth Comparative Analysis of Machine Learning Techniques for Addressing Class Imbalance in Mental Health Prediction.
Tsholofelo MokheleliTebogo BokabaTinofirei MusebaPublished in: ACIS (2023)
Keyphrases
- comparative analysis
- class imbalance
- mental health
- class distribution
- active learning
- prediction accuracy
- cost sensitive
- machine learning
- imbalanced datasets
- small disjuncts
- cost sensitive learning
- software defect prediction
- semi quantitative
- fusion scheme
- imbalanced data
- high dimensionality
- machine learning algorithms
- minority class
- concept drift
- imbalanced class distribution
- majority class
- text categorization
- decision trees
- sampling methods
- supervised learning