Survival Prediction from Imbalance colorectal cancer dataset using hybrid sampling methods and tree-based classifiers.
Sadegh SoleimaniMahsa BahramiMansour ValiPublished in: CoRR (2023)
Keyphrases
- sampling methods
- imbalanced data
- class imbalance
- survival prediction
- colorectal cancer
- imbalanced datasets
- minority class
- random sampling
- class distribution
- active learning
- training data
- training dataset
- training set
- feature set
- lung cancer
- decision trees
- cost sensitive
- sampling algorithm
- gene expression
- benchmark datasets
- training samples
- feature selection
- ensemble methods
- test set
- support vector
- concept drift
- original data
- cost sensitive learning
- data streams
- machine learning
- gene selection
- upper bound
- learning algorithm