Effective hybrid feature selection using different bootstrap enhances cancers classification performance.
Noura Mohammed AbdelwahedGhada Samy El-TawelM. A. MakhloufPublished in: BioData Min. (2022)
Keyphrases
- feature selection
- classification accuracy
- feature extraction
- text classification
- classification models
- microarray datasets
- cross validation
- support vector machine
- support vector
- feature space
- high dimensionality
- machine learning
- model selection
- mutual information
- irrelevant features
- method for feature selection
- feature set
- feature subset
- accurate classification
- bayes classifier
- small sample
- pattern recognition
- feature ranking
- information gain
- cancer diagnosis
- redundant features
- data preprocessing
- classification performances
- discriminative features
- wrapper feature selection
- classification method
- classification algorithm
- support vector machine svm
- cancer classification
- data sets
- select relevant features
- conditional mutual information
- learning algorithm
- ovarian cancer
- decision trees
- training set
- supervised learning
- microarray data
- dimensionality reduction
- image classification
- text categorization
- svm classifier
- fold cross validation