Preprocessing compensation techniques for improved classification of imbalanced medical datasets.
Agnieszka WosiakSylwia KarbowiakPublished in: FedCSIS (2017)
Keyphrases
- preprocessing
- uci machine learning repository
- imbalanced datasets
- benchmark datasets
- uci repository
- binary classification problems
- feature extraction
- pattern recognition
- class imbalance
- support vector machine
- support vector
- image classification
- machine learning
- training set
- classification accuracy
- neural network
- benchmark data sets
- automatic classification
- imbalanced data
- machine learning methods
- classification method
- supervised learning
- associative classifiers
- cost sensitive learning
- preprocessing steps
- proceedings of the th international conference
- medical data
- feature selection algorithms
- classification models
- pattern classification
- high dimensionality
- training samples
- feature set
- feature vectors
- decision trees
- data mining