Supervised Relevance-Redundancy assessments for feature selection in omics-based classification scenarios.
Silvia CascianelliArianna GalzeranoMarco MasseroliPublished in: J. Biomed. Informatics (2023)
Keyphrases
- feature selection
- classification accuracy
- machine learning
- text classification
- supervised learning
- feature extraction
- classification models
- unsupervised learning
- support vector machine
- support vector
- model selection
- minimum redundancy
- feature set
- unsupervised feature selection
- pattern recognition
- supervised classification
- feature selection algorithms
- accurate classification
- feature subset selection
- feature relevance
- feature subset
- support vector machine svm
- feature space
- bayes classifier
- information gain
- classification method
- mutual information
- irrelevant features
- web page classification
- dimensionality reduction
- multi class
- supervised feature selection
- decision trees
- information retrieval
- high dimensionality
- method for feature selection
- multi task
- training set
- feature vectors
- microarray data
- image classification
- select relevant features
- class imbalance
- conditional mutual information
- active learning
- semi supervised
- classification performances
- graph classification
- supervised and unsupervised learning
- class labels
- cross validation
- classification algorithm
- gene expression data
- feature ranking
- fold cross validation
- bayesian classifier
- discriminative features