Stacking Classifier with Random Forest functioning as a Meta Classifier for Diabetes Diseases Classification.
Maria AliMuhammad Nasim HaiderSaima Anwar LashariWareesa SharifAbdullah KhanDzati Athiar RamliPublished in: KES (2022)
Keyphrases
- random forest
- fold cross validation
- feature set
- decision trees
- feature reduction
- ensemble classifier
- classification method
- classification rate
- classification algorithm
- class labels
- base classifiers
- ensemble learning
- support vector machine
- combining classifiers
- svm classifier
- classifier combination
- training samples
- feature space
- individual classifiers
- nearest neighbor classifier
- training set
- feature selection
- feature ranking
- random forests
- classification accuracy
- support vector
- classifier ensemble
- bayesian classifier
- ensemble methods
- training data
- logistic regression
- multi label
- classification models
- multiple classifier systems
- support vector machine svm
- machine learning algorithms
- concept drift
- learning algorithm
- feature vectors
- pairwise
- cancer classification
- feature extraction
- machine learning methods
- weak classifiers
- combining multiple
- feature importance