The Effect of Imbalanced Data Class Distribution on Fuzzy Classifiers - Experimental Study.
Sofia VisaAnca RalescuPublished in: FUZZ-IEEE (2005)
Keyphrases
- experimental study
- imbalanced data
- class distribution
- imbalanced data sets
- class imbalance
- training data
- minority class
- majority class
- training set
- test set
- cost sensitive
- highly skewed
- imbalanced datasets
- highly imbalanced
- training samples
- class labels
- training examples
- linear regression
- misclassification costs
- decision trees
- unlabeled data
- decision boundary
- ensemble methods
- svm classifier
- sampling methods
- active learning
- concept drift
- random forest
- classification models
- cost sensitive learning
- machine learning algorithms
- feature set
- support vector machine
- data sets