Efficient prediction of early-stage diabetes using XGBoost classifier with random forest feature selection technique.
Serdar GündogduPublished in: Multim. Tools Appl. (2023)
Keyphrases
- random forest
- early stage
- feature set
- feature selection
- ensemble classifier
- fold cross validation
- feature reduction
- decision trees
- random forests
- ensemble learning
- selected features
- feature space
- feature ranking
- feature importance
- cancer classification
- feature selection algorithms
- ensemble methods
- prediction accuracy
- feature extraction
- support vector machine
- classification accuracy
- multi label
- base classifiers
- classification models
- logistic regression
- individual classifiers
- feature vectors
- support vector
- machine learning
- classification algorithm
- machine learning algorithms
- multi class