Financial distress prediction using a corrected feature selection measure and gradient boosted decision tree.
Hongyi QianBaohui WangMinghe YuanSongfeng GaoYou SongPublished in: Expert Syst. Appl. (2022)
Keyphrases
- feature selection
- decision trees
- information gain
- naive bayes
- random forests
- classification models
- text categorization
- similarity measure
- pointwise mutual information
- feature set
- multi class
- gain ratio
- mutual information
- feature space
- feature construction
- support vector
- distance measure
- irrelevant features
- high dimensionality
- bayes classifier
- random forest
- training data
- machine learning
- information theory
- neural network
- selection criterion
- bayesian classifier
- correlation coefficient
- predictive accuracy
- machine learning algorithms
- classification accuracy
- model selection
- support vector machine