Estimating Generalization Error Using Out-of-Bag Estimates.
Tom BylanderDennis HanzlikPublished in: AAAI/IAAI (1999)
Keyphrases
- generalization error
- unbiased estimator
- cross validation
- supervised learning
- classification error
- learning algorithm
- training set
- model selection
- upper bound
- binary classification
- active learning
- training error
- sample complexity
- training data
- sample size
- generalization error bounds
- linear classifiers
- target function
- subspace information criterion
- learning machines
- low error
- perceptron learning
- weak classifiers
- boosting algorithms
- training set size
- conditional expectation
- database
- loss function
- machine learning