Leveraging Sampling Schemes on Skewed Class Distribution to Enhance Male Fertility Detection with Ensemble AI Learners.
Debasmita Ghosh RoyP. A. AlviKC SantoshPublished in: Int. J. Pattern Recognit. Artif. Intell. (2024)
Keyphrases
- class distribution
- imbalanced data
- highly skewed
- training set
- training data
- base classifiers
- majority class
- cost sensitive
- highly imbalanced
- class imbalance
- minority class
- test set
- misclassification costs
- imbalanced class distribution
- learning environment
- base learners
- imbalanced datasets
- training examples
- training samples
- class labels
- concept drift
- unlabeled data
- cost sensitive learning
- sampling methods
- ensemble methods
- classification error
- ensemble learning
- random sampling
- statistically significant
- supervised learning
- multi class
- decision trees
- learning algorithm
- test data
- classification accuracy
- bayesian networks
- e learning