Decision tree classification algorithm for non-equilibrium data set based on random forests.
Peng WangNingchao ZhangPublished in: J. Intell. Fuzzy Syst. (2020)
Keyphrases
- classification algorithm
- random forests
- decision trees
- training set
- naive bayes
- data sets
- random forest
- logistic regression
- training data
- machine learning algorithms
- ensemble methods
- classification rules
- classification trees
- support vector machine
- accurate classification
- machine learning
- tree ensembles
- training phase
- base classifiers
- k nearest neighbor
- class probabilities
- class labels
- training examples
- supervised learning
- knn
- training samples
- neural network
- concept drift
- learning algorithm
- classifier ensemble
- base learners
- nearest neighbor
- cost sensitive
- database
- test data
- classification accuracy
- decision tree ensembles
- real world
- natural language
- regression problems
- prior knowledge
- active learning
- information extraction
- multi class
- structured data