Influence of Resampling on Accuracy of Imbalanced Classification.
Evgeny BurnaevPavel ErofeevArtem PapanovPublished in: CoRR (2017)
Keyphrases
- classification accuracy
- accuracy rate
- classification rate
- feature selection
- predictive accuracy
- class imbalanced
- class imbalance
- generalization ability
- prediction accuracy
- image classification
- high accuracy
- decision trees
- pattern recognition
- feature set
- correct classification
- feature extraction
- classification scheme
- classification method
- classification algorithm
- class labels
- feature vectors
- model selection
- decision rules
- computational cost
- pattern classification
- classification models
- support vector
- training data
- fold cross validation
- binary classification problems
- imbalanced datasets
- machine learning
- confusion matrix
- roc analysis
- support vector machine svm
- high dimensionality
- svm classifier
- cross validation