Nurse care activity recognition: using random forest to handle imbalanced class problem.
Arafat RahmanNazmun NahidIqbal HassanMd. Atiqur Rahman AhadPublished in: UbiComp/ISWC Adjunct (2020)
Keyphrases
- random forest
- learning from imbalanced data
- random forests
- imbalanced data
- health care
- decision trees
- imbalanced datasets
- feature set
- multi label
- ensemble methods
- feature importance
- base classifiers
- higher order
- ensemble classifier
- fold cross validation
- data sets
- text classification
- image features
- classification accuracy
- feature space
- rotation forest
- data mining