Random Forest (RF) Kernel for Regression, Classification and Survival.
Dai FengRichard BaumgartnerPublished in: CoRR (2020)
Keyphrases
- random forest
- decision trees
- feature set
- fold cross validation
- support vector
- cancer classification
- random forests
- decision tree learning algorithms
- classification and regression problems
- model selection
- classification accuracy
- kernel function
- feature importance
- ensemble classifier
- regression problems
- classification models
- feature space
- supervised learning
- image classification
- text classification
- machine learning
- regression model
- feature vectors
- feature selection
- support vector machine
- image processing
- feature ranking
- ensemble learning
- training set
- multi label
- svm classifier
- base classifiers
- kernel methods
- bayesian networks
- classification algorithm
- neural network
- training samples
- data mining