Random Forest: A Classification and Regression Tool for Compound Classification and QSAR Modeling.
Vladimir SvetnikAndy LiawChristopher TongJ. Christopher CulbersonRobert P. SheridanBradley P. FeustonPublished in: J. Chem. Inf. Comput. Sci. (2003)
Keyphrases
- decision trees
- random forest
- support vector
- fold cross validation
- feature set
- classification accuracy
- feature selection
- classification algorithm
- benchmark datasets
- feature space
- machine learning
- supervised learning
- image classification
- svm classifier
- feature vectors
- machine learning algorithms
- generalization ability
- feature extraction
- training set
- training samples
- unsupervised learning
- model selection
- class labels
- machine learning methods
- classification models
- pairwise
- higher order
- knn