Contrasting Undersampled Boosting with Internal and External Feature Selection for Patient Response Datasets.
Taghi M. KhoshgoftaarDavid J. DittmanRandall WaldAmri NapolitanoPublished in: ICMLA (2) (2013)
Keyphrases
- internal and external
- feature selection
- feature selection algorithms
- text classification
- feature set
- text categorization
- microarray datasets
- mutual information
- dimensionality reduction
- machine learning
- ensemble classification
- data sets
- ensemble learning
- benchmark datasets
- feature extraction
- binary classification problems
- irrelevant features
- unsupervised feature selection
- stability of feature selection
- clinical data
- select relevant features
- data mining
- knn
- feature space
- support vector
- classification models
- patient data
- naive bayes
- clinical practice
- heart rate
- support vector machine
- business environment
- training data
- decision trees
- learning algorithm