Estimating Generalization Error on Two-Class Datasets Using Out-of-Bag Estimates.
Tom BylanderPublished in: Mach. Learn. (2002)
Keyphrases
- generalization error
- active learning
- binary classification
- learning algorithm
- learning machines
- upper bound
- unbiased estimator
- cross validation
- model selection
- classification error
- sample complexity
- supervised learning
- low error
- training data
- linear classifiers
- training set
- target function
- training error
- database
- benchmark datasets
- conditional expectation
- generalization error bounds
- sample size
- subspace information criterion
- class labels
- multiclass classification
- perceptron learning