An Improved Prediction of Polycystic Ovary Syndrome Using SMOTE-based Oversampling and Stacking Classifier.
Maimuna AkhtarKazi Asif Ahmed Ferdib-Al-IslamPublished in: ICCCNT (2023)
Keyphrases
- minority class
- class imbalance
- prediction accuracy
- ensemble learning
- majority class
- cost sensitive learning
- class distribution
- ensemble classifier
- combining classifiers
- prediction model
- imbalanced data
- combining multiple
- feature selection
- imbalanced data sets
- training set
- training data
- learning algorithm
- multiple classifiers
- feature space
- decision trees
- machine learning
- highly skewed
- nearest neighbour
- decision boundary
- multi layer perceptron
- classification algorithm
- support vector machine
- support vector
- linear classifiers
- sampling methods
- classification error
- concept drift
- base classifiers
- text categorization
- training samples