Parkinson's disease classification using nature inspired feature selection and recursive feature elimination.
Prabhleen Kaur ChawlaMeera S. NairDattakumar Gajanan MalkhedeHemprasad Yashwant PatilSumit Kumar JindalAvinash ChandraMahadev Anant GawasPublished in: Multim. Tools Appl. (2024)
Keyphrases
- feature selection
- recursive feature elimination
- nature inspired
- svm rfe
- support vector machine
- feature selection algorithms
- terms of classification accuracy
- classification accuracy
- support vector
- cancer diagnosis
- feature ranking
- text classification
- feature extraction
- gene selection
- small samples
- feature space
- feature set
- machine learning
- support vector machine svm
- text categorization
- classification models
- high dimensionality
- model selection
- svm classifier
- microarray datasets
- data preprocessing
- unsupervised learning
- feature subset
- method for feature selection
- decision trees
- fold cross validation
- feature subset selection
- feature vectors
- swarm intelligence
- selected features
- data sets
- training set
- learning algorithm
- cancer classification
- evolutionary algorithm
- knn
- microarray data
- traveling salesman problem
- cluster analysis
- ant colony optimization
- benchmark datasets