Classification Prediction of Familial Hypercholesterolemia using Ensemble-based Classifier with Feature Selection and Rebalancing Technique.
Jafhate EdwardMarshima Mohd RosliYung-An ChuaNoor Alicezah Mohd KasimHapizah NawawiPublished in: ICTC (2022)
Keyphrases
- feature selection
- ensemble classifier
- final classification
- feature set
- support vector machine
- classification models
- ensemble classification
- classification accuracy
- ensemble learning
- feature ranking
- feature space
- feature selection algorithms
- support vector
- multiple classifiers
- classifier ensemble
- bayes classifier
- text categorization
- feature reduction
- text classification
- classification performances
- classification scheme
- classification algorithm
- individual classifiers
- classification process
- classification rate
- feature subset
- higher classification accuracy
- wrapper feature selection
- multi class
- svm classifier
- majority voting
- high dimensionality
- automatic relevance determination
- ensemble methods
- accurate classification
- multiple classifier systems
- feature extraction
- class labels
- classification method
- random forest
- fold cross validation
- input features
- decision tree classifiers
- concept drift
- decision trees
- combining classifiers
- training data
- discriminative features
- classifier combination
- feature selection and classifier
- base classifiers
- feature vectors
- training set
- accurate classifiers
- machine learning
- binary classification problems
- model selection
- small sample
- support vector machine svm
- instance selection
- binary classifiers
- imbalanced data
- training samples
- feature weighting
- decision stumps
- text classifiers
- neural network
- search tree
- weak classifiers
- prediction accuracy
- naive bayes
- k nearest neighbour
- weak learners