On Feature Selection, Bias-Variance, and Bagging.
M. Arthur MunsonRich CaruanaPublished in: ECML/PKDD (2) (2009)
Keyphrases
- bias variance
- feature selection
- bias variance analysis
- trade off
- bias variance decomposition
- machine learning
- ensemble learning
- ensemble methods
- variance reduction
- meta learning
- ensemble classification
- imbalanced data
- ensemble classifier
- feature set
- text categorization
- random forest
- decision stumps
- feature subset
- feature selection algorithms
- text classification
- decision trees
- base classifiers
- feature space
- information gain
- support vector
- multi class
- support vector machine
- learning algorithm
- knn
- random forests
- learning machines
- data sets
- low variance
- prediction accuracy
- feature extraction
- machine learning algorithms
- knowledge discovery
- classification accuracy
- multi task
- training data
- information retrieval
- classification models