Boosted leave-many-out cross-validation: the effect of training and test set diversity on PLS statistics.
Robert D. ClarkPublished in: J. Comput. Aided Mol. Des. (2003)
Keyphrases
- cross validation
- test set
- training set
- model selection
- training and test data
- variable selection
- hyperparameters
- test data
- training examples
- cross validated
- training data
- ls svm
- partial least squares
- error rate
- classification accuracy
- support vector
- decision trees
- data sets
- supervised learning
- training samples
- generalization error
- class distribution
- active learning
- nearest neighbor classifiers
- error estimates
- unseen data
- test cases
- base classifiers
- unlabeled data
- svm classifier
- feature space
- training process
- class labels
- support vector machine
- machine learning