Support Vector Machine Failure in Imbalanced Datasets.
Ignacio A. IllánJuan Manuel GórrizJavier RamírezFrancisco Jesús Martínez-MurciaDiego Castillo-BarnesFermín SegoviaDiego Salas-GonzálezPublished in: IWINAC (1) (2019)
Keyphrases
- imbalanced datasets
- support vector machine
- imbalanced data
- learning from imbalanced data
- cost sensitive learning
- minority class
- class distribution
- multi class
- svm classifier
- training data
- cost sensitive
- class imbalance
- feature selection
- decision trees
- support vector machine svm
- generalization ability
- machine learning
- ensemble methods
- sampling methods
- support vector
- classification algorithm
- k nearest neighbor
- feature selection algorithms
- feature vectors
- support vectors
- kernel function
- knn
- binary classification
- decision boundary
- training set
- hyperplane
- missing values