Nearest Neighbor Classifiers Versus Random Forests and Support Vector Machines.
Saket SatheCharu C. AggarwalPublished in: ICDM (2019)
Keyphrases
- random forests
- nearest neighbor classifiers
- decision trees
- support vector
- logistic regression
- cross validation
- learning machines
- random forest
- machine learning algorithms
- ensemble methods
- loss function
- nearest neighbor classification
- selective sampling
- nearest neighbor
- previously reported
- nearest neighbor classifier
- decision tree ensembles
- machine learning
- prototype selection
- model selection
- naive bayes
- support vector machine
- classification accuracy
- kernel function
- distance measure
- training set
- feature space
- training data
- radial basis function
- svm classifier
- generalization ability
- active learning
- small sample
- feature selection