Cost-Sensitive Feature Selection Based on Label Significance and Positive Region.
Jintao HuangWenbin QianBinglong WuYinglong WangPublished in: ICMLC (2019)
Keyphrases
- cost sensitive
- feature selection
- multi class
- naive bayes
- multi label
- text categorization
- binary classification
- misclassification costs
- support vector machine
- class imbalance
- cost sensitive classification
- cost sensitive learning
- class distribution
- text classification
- feature set
- active learning
- classification accuracy
- support vector
- machine learning
- probability estimates
- decision trees
- confidence weighted
- model selection
- class labels
- dimensionality reduction
- neural network
- classification models
- data sets
- training set
- feature space