Random forest with SMOTE and ensemble feature selection for cervical cancer diagnosis.
Anjali KuruvillaB. JayanthiPublished in: Int. J. Comput. Biol. Drug Des. (2023)
Keyphrases
- random forest
- cancer diagnosis
- cancer classification
- imbalanced data
- ensemble methods
- ensemble learning
- gene selection
- decision trees
- base classifiers
- prediction accuracy
- feature set
- fold cross validation
- benchmark datasets
- multi label
- microarray data
- ensemble classifier
- machine learning methods
- generalization ability
- training data
- gene expression profiles
- data mining