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Bootstrapping the out-of-sample predictions for efficient and accurate cross-validation.
Ioannis Tsamardinos
Elissavet Greasidou
Giorgos Borboudakis
Published in:
Mach. Learn. (2018)
Keyphrases
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cross validation
model selection
support vector
regression problems
hyperparameters
cross validated
generalization error
variable selection
training set
data sets
ls svm
feature space
unseen data
nearest neighbor classifiers
error estimates
sample size
neural network
database