Addressing Classification on Highly Imbalanced Clinical Datasets.
Alexandre Babilone FonsecaDavid Correa Martins Jr.Zofia WicikMarek PostulaSérgio Nery SimõesPublished in: ICCABS (2021)
Keyphrases
- highly imbalanced
- benchmark datasets
- classification accuracy
- class distribution
- pattern classification
- classification algorithm
- machine learning
- class labels
- image classification
- supervised learning
- support vector
- feature extraction
- data sets
- imbalanced data
- training dataset
- decision trees
- training set
- training samples
- feature vectors
- svm classifier
- support vector machine svm
- classification models
- generalization ability
- feature selection
- decision boundary
- unsupervised learning