Can-CSC-GBE: Developing Cost-sensitive Classifier with Gentleboost Ensemble for breast cancer classification using protein amino acids and imbalanced data.
Safdar AliAbdul MajidSyed Gibran JavedMohsin SattarPublished in: Comput. Biol. Medicine (2016)
Keyphrases
- amino acids
- imbalanced data
- cost sensitive
- class distribution
- cost sensitive learning
- class imbalance
- minority class
- support vector machine
- base learners
- ensemble classifier
- base classifiers
- protein sequences
- misclassification costs
- random forest
- multi class
- gene selection
- svm classifier
- protein structure
- feature selection
- ensemble learning
- naive bayes
- decision trees
- training data
- ensemble methods
- classification models
- feature set
- active learning
- support vector
- multi label
- gene expression data
- microarray
- logistic regression
- microarray data
- support vector machine svm
- gene expression profiles
- training samples
- training set
- classification algorithm
- prediction accuracy
- training examples
- linear classifiers
- binary classifiers
- gene expression
- data sets
- kernel function
- text classification
- image classification
- dimensionality reduction
- nearest neighbor
- feature vectors
- high dimensional
- machine learning