Multi-class Imbalanced Data Oversampling for Vertebral Column Pathologies Classification.
José A. SáezHéctor QuintiánBartosz KrawczykMichal WozniakEmilio CorchadoPublished in: HAIS (2018)
Keyphrases
- multi class
- imbalanced data
- support vector machine
- class imbalance
- cost sensitive
- multi class classification
- multi class classifier
- feature selection
- binary classification
- class distribution
- binary classifiers
- minority class
- base classifiers
- imbalanced datasets
- cost sensitive learning
- svm classifier
- support vector machine svm
- decision boundary
- machine learning
- classification models
- support vector
- decision trees
- linear classifiers
- sampling methods
- linear regression
- classification accuracy
- active learning
- feature vectors
- misclassification costs
- concept drift
- similarity measure
- class labels
- machine learning algorithms
- training data
- feature space
- feature extraction
- classification error
- generalization ability
- machine learning methods
- probability estimation
- image classification
- supervised learning