Enhancing Autism Screening Classification Using Feature Selection and Stacking Classifier.
Ainie Hayati NoruzmanNgahzaifa Ab GhaniNor Saradatul Akmar ZulkifliPublished in: ICSECS (2023)
Keyphrases
- feature selection
- support vector
- feature set
- classification accuracy
- classification models
- support vector machine
- feature space
- text classification
- classification method
- bayesian classifier
- classification scheme
- classification performances
- feature reduction
- classification process
- combining classifiers
- feature selection algorithms
- classification rate
- method for feature selection
- text categorization
- feature subset
- classification algorithm
- bayes classifier
- small sample
- class labels
- higher classification accuracy
- hierarchical classification
- svm classifier
- multiple classifiers
- training set
- decision trees
- feature extraction
- fold cross validation
- accurate classification
- ensemble learning
- high dimensionality
- combining multiple
- machine learning
- feature ranking
- classifier combination
- ensemble classifier
- discriminative features
- improvement in classification accuracy
- selected features
- training data
- multiple kernel learning
- decision boundary
- base classifiers
- binary classifiers
- age related macular degeneration
- automatic relevance determination
- feature vectors
- multi category
- multi class
- learning vector quantization
- naive bayes
- input features
- text classifiers
- nearest neighbor classifier
- feature selection and classifier
- supervised classification
- redundant features
- supervised learning
- k nearest neighbour
- classifier ensemble
- model selection
- selection criterion
- instance selection
- training samples
- support vector machine svm
- individual classifiers
- irrelevant features
- majority voting