Genetic algorithm with logistic regression feature selection for Alzheimer's disease classification.
R. DivyaR. Shantha Selva KumariPublished in: Neural Comput. Appl. (2021)
Keyphrases
- logistic regression
- support vector
- feature selection
- fold cross validation
- decision trees
- logistic regression models
- naive bayes
- linear svm
- classification accuracy
- linear support vector machines
- text classification
- classification and regression trees
- classification models
- odds ratio
- feature ranking
- support vector machine
- credit scoring
- text categorization
- loss function
- classification trees
- machine learning
- feature extraction
- model selection
- feature set
- decision tree algorithms
- information gain
- svm classifier
- naive bayes classifier
- breast cancer
- class membership probabilities
- logistic model
- feature space
- supervised learning
- training samples
- regression model
- cross validation
- bayesian classifier
- probability estimates
- dimensionality reduction
- data sets
- data analysis
- training data
- belief nets
- cost sensitive