Improving SVM Classification on Imbalanced Datasets by Introducing a New Bias.
Haydemar NúñezLuis González AbrilCecilio AnguloPublished in: J. Classif. (2017)
Keyphrases
- svm classification
- imbalanced datasets
- support vector machine
- support vector machine svm
- cost sensitive learning
- imbalanced data
- svm classifier
- kernel function
- classification accuracy
- class distribution
- class imbalance
- support vector
- sampling methods
- decision trees
- image classification
- ensemble methods
- feature selection algorithms
- training data
- training dataset
- data sets
- cross validation
- machine learning
- feature selection
- cost sensitive
- training set
- multi class
- pairwise
- knn