Effectiveness of Basic and Advanced Sampling Strategies on the Classification of Imbalanced Data. A Comparative Study Using Classical and Novel Metrics.
Mohamed S. KraiemMaría N. MorenoPublished in: HAIS (2017)
Keyphrases
- imbalanced data
- sampling strategies
- class imbalance
- sampling methods
- support vector machine
- sampling strategy
- decision trees
- feature selection
- feature extraction
- active learning
- linear regression
- classification accuracy
- feature vectors
- classification models
- ensemble classifier
- classification algorithm
- cost sensitive
- feature space
- decision boundary
- svm classifier
- high dimensionality
- data mining
- interactive information retrieval
- class distribution
- ensemble methods
- prediction accuracy
- error rate
- training examples
- support vector machine svm
- training samples
- model selection
- text classification
- image classification
- supervised learning