Random Forest with Sampling Techniques for Handling Imbalanced Prediction of University Student Depression.
Siriporn SawangarreerakPutthiporn ThanathamatheePublished in: Inf. (2020)
Keyphrases
- random forest
- imbalanced data
- learning from imbalanced data
- ensemble methods
- ensemble classifier
- prediction accuracy
- random forests
- decision trees
- feature set
- fold cross validation
- imbalanced datasets
- ensemble learning
- multi label
- base classifiers
- minority class
- feature importance
- learning process
- learning environment
- data sets
- rotation forest
- decision tree learning algorithms
- genetic algorithm
- class imbalance
- class distribution
- active learning