Comparison Between Selective Sampling and Random Undersampling for Classification of Customer Defection Using Support Vector Machine.
Heri KuswantoYogi SarumahaHayato OhwadaPublished in: J. Comput. Sci. (2017)
Keyphrases
- selective sampling
- support vector machine
- active learning
- feature selection
- nearest neighbor classifiers
- random sampling
- support vector
- svm classifier
- classification algorithm
- feature vectors
- multi class
- machine learning
- support vector machine svm
- training set
- generalization ability
- classification accuracy
- kernel function
- feature space
- class labels
- cost sensitive
- similarity measure
- class imbalance
- decision boundary
- fold cross validation
- decision trees
- image classification
- classification rules
- support vectors
- unlabeled examples