A New Phylogeny-Driven Random Forest-Based Classification Approach for Functional Metagenomics.
Jyotsna Talreja WassanHaiying WangHuiru ZhengPublished in: BIBM (2022)
Keyphrases
- random forest
- decision trees
- fold cross validation
- feature set
- random forests
- cancer classification
- sequence data
- decision tree learning algorithms
- ensemble classifier
- classification accuracy
- ensemble methods
- feature importance
- image classification
- ensemble learning
- neural network
- classification models
- machine learning algorithms
- feature vectors
- feature selection
- support vector machine svm
- support vector machine
- feature extraction
- feature ranking
- logistic regression
- multi label
- training samples
- supervised learning
- support vector
- training data
- image processing
- data sets