Building Decision Tree for Imbalanced Classification via Deep Reinforcement Learning.
Guixuan WenKaigui WuPublished in: ACML (2021)
Keyphrases
- decision trees
- reinforcement learning
- machine learning
- class imbalance
- predictive accuracy
- decision tree algorithm
- machine learning algorithms
- classification models
- classification accuracy
- decision rules
- pattern classification
- naive bayes
- classification method
- fuzzy decision trees
- decision tree classifiers
- classification rules
- binary classification problems
- classification algorithm
- neural network
- supervised learning
- pattern recognition
- cost sensitive
- logistic regression
- decision tree learning algorithm
- markov decision processes
- decision tree induction
- training set
- decision tree learning
- support vector machine svm
- training data
- imbalanced datasets
- multi agent
- feature space
- learning algorithm
- decision tree algorithms
- multivariate decision trees
- imbalanced data
- class distribution
- ensemble methods
- state space
- rule sets
- model selection
- svm classifier
- unsupervised learning