Effects of the Use of Boosting on Classification Performance of Imbalanced Bioinformatics Datasets.
Taghi M. KhoshgoftaarAlireza FazelpourDavid J. DittmanAmri NapolitanoPublished in: BIBE (2014)
Keyphrases
- binary classification problems
- imbalanced datasets
- uci machine learning repository
- machine learning
- accurate classifiers
- uci repository
- decision trees
- ensemble methods
- classification accuracy
- class imbalance
- benchmark datasets
- data mining
- imbalanced data sets
- feature selection
- image classification
- data sets
- learning algorithm
- imbalanced data
- weak learners
- cost sensitive
- supervised learning
- multi class
- generalization ability
- class imbalanced
- data analysis
- feature space
- support vector machine
- benchmark data sets
- classification rules
- class labels
- text mining
- machine learning algorithms
- model selection
- text classification