A comparison of rule-based and centroid single-sample multiclass predictors for transcriptomic classification.
Pontus ErikssonNour-al-dain MarzoukaGottfrid SjödahlCarina BernardoFredrik LiedbergMattias HöglundPublished in: Bioinform. (2022)
Keyphrases
- multi class
- multiclass classification
- support vector machine
- binary classifiers
- cost sensitive classification
- multiclass support vector machines
- multiclass problems
- multi class classification
- cost sensitive
- multi class classifier
- multiple classes
- binary and multi class
- class probabilities
- single class
- binary classification
- error correcting output codes
- multi class boosting
- feature selection
- binary classification problems
- kernel fisher
- classification accuracy
- support vector
- feature vectors
- pairwise
- decision trees
- support vector machine svm
- benchmark datasets
- feature extraction
- multiclass learning
- binary classification tasks
- machine learning
- svm classifier
- machine learning algorithms
- perceptron algorithm
- model selection
- feature set
- generalization ability