Feature Selection for Imbalanced Data with Deep Sparse Autoencoders Ensemble.
Michela Carlotta MassiFrancesca IevaFrancesca GasperoniAnna Maria PaganoniPublished in: CoRR (2021)
Keyphrases
- imbalanced data
- feature selection
- classification models
- ensemble methods
- ensemble classifier
- linear regression
- class distribution
- denoising
- high dimensionality
- support vector machine
- random forest
- text classification
- class imbalance
- feature set
- classification accuracy
- high dimensional
- feature subset
- base classifiers
- ensemble learning
- model selection
- text categorization
- feature space
- support vector
- machine learning
- svm classifier
- feature extraction
- dimensionality reduction
- multi class
- naive bayes
- sampling methods
- feature selection algorithms
- random forests
- least squares
- semi supervised
- training data