An Empirical Analysis of the Efficacy of Different Sampling Techniques for Imbalanced Classification.
Asif NewazShahriar HassanFarhan Shahriyar HaqPublished in: CoRR (2022)
Keyphrases
- classification accuracy
- decision trees
- classification scheme
- imbalanced data
- pattern recognition
- machine learning
- support vector
- automatic classification
- decision rules
- minority class
- feature space
- class imbalance
- classification systems
- machine learning methods
- classification method
- binary classification problems
- support vector machine svm
- text classification
- training samples
- image classification
- pattern classification
- feature extraction
- support vector machine
- feature vectors
- cost sensitive learning
- decision boundary
- imbalanced data sets
- class distribution
- cost sensitive
- classification algorithm
- monte carlo
- machine learning algorithms
- feature set
- training set