A MCDM-based performance of classification algorithms in breast cancer prediction for imbalanced datasets.
Monika LambaGeetika MunjalYogita GigrasPublished in: Int. J. Intell. Eng. Informatics (2021)
Keyphrases
- breast cancer
- bladder cancer
- imbalanced datasets
- breast cancer diagnosis
- classification algorithm
- learning algorithm
- mammogram images
- cost sensitive learning
- benchmark datasets
- outcome prediction
- class imbalance
- logistic regression
- machine learning algorithms
- machine learning methods
- decision trees
- support vector machine
- classification accuracy
- feature vectors
- feature space
- feature extraction
- support vector machine svm
- model selection
- feature set
- sampling methods
- training set
- feature selection