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Improved Cross-Validation for Classifiers that Make Algorithmic Choices to Minimise Runtime Without Compromising Output Correctness.
Dorian Florescu
Matthew England
Published in:
MACIS (2019)
Keyphrases
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cross validation
support vector
training set
nearest neighbor classifiers
unseen data
model selection
binary classifiers
variable selection
hyperparameters
roc analysis
grid search
generalization error
feature selection
cross validated
svm classifier
decision trees
training data
test set
improved algorithm
input variables
regularization parameter
leave one out cross validation
information criterion
support vector machine
multiclass classification
nearest neighbor
data sets
error estimates
small sample
binary classification
roc curve
machine learning algorithms
multi class
neural network