-mer frequencies in Random Forest classifiers.
Christopher BennettMicah ThorntonChanhee ParkGervaise HenryYun ZhangVenkat S. MalladiDaehwan KimPublished in: Bioinform. (2022)
Keyphrases
- random forest
- feature set
- decision trees
- fold cross validation
- rotation forest
- ensemble classifier
- ensemble learning
- random forests
- ensemble methods
- naive bayes
- training data
- base classifiers
- feature ranking
- training set
- classification models
- multi label
- machine learning methods
- feature importance
- cancer classification
- classification accuracy
- classification algorithm
- machine learning algorithms
- feature selection
- svm classifier
- logistic regression
- class labels
- training samples
- multi class
- high dimensional
- individual classifiers
- decision tree learning algorithms
- data sets
- majority voting
- semi supervised
- feature vectors
- feature extraction
- machine learning