Classification of Multi-class Imbalanced Data: Data Difficulty Factors and Selected Methods for Improving Classifiers.
Jerzy StefanowskiPublished in: IJCRS (2021)
Keyphrases
- classification method
- machine learning methods
- classification decisions
- data sets
- classification systems
- training data
- statistical methods
- statistical tests
- data reduction
- classification models
- training samples
- machine learning
- cancer datasets
- cross validation
- decision trees
- classification trees
- benchmark datasets
- higher classification accuracy
- data mining techniques
- extracted features
- training set
- feature subset
- roc analysis
- bayesian methods
- accurate classification
- classification algorithm
- feature selection
- support vector
- accurate classifiers
- majority voting
- dimensionality reduction methods
- binary classifiers
- neural networks and support vector machines
- feature extraction
- supervised classification
- labeled data
- feature space
- data points
- multi class
- supervised learning
- svm classifier
- missing data
- machine learning algorithms
- text classification