Confusion-Matrix-Based Kernel Logistic Regression for Imbalanced Data Classification.
Miho OhsakiPeng WangKenji MatsudaShigeru KatagiriHideyuki WatanabeAnca RalescuPublished in: IEEE Trans. Knowl. Data Eng. (2017)
Keyphrases
- confusion matrix
- imbalanced data classification
- kernel logistic regression
- support vector machine
- feature selection
- semi supervised
- class probabilities
- support vector
- multi class
- gaussian process
- logistic regression
- svm classifier
- active learning
- kernel methods
- feature vectors
- binary classification
- feature space
- naive bayes
- knn
- classification accuracy
- nearest neighbor
- text classification
- decision boundary
- training set