A hybrid random forest-based feature selection model using mutual information and F-score for preterm birth classification.
Himani S. DeshpandeLeena RaghaPublished in: Int. J. Medical Eng. Informatics (2023)
Keyphrases
- feature selection
- mutual information
- random forest
- classification models
- feature set
- text classification
- decision trees
- support vector
- classification accuracy
- decision tree learning algorithms
- classification method
- classification algorithm
- unsupervised learning
- machine learning
- image registration
- support vector machine
- prior knowledge
- random forests
- fold cross validation
- conditional mutual information
- feature extraction