Turning the hyperparameter of an AUC-optimized classifier.
David M. J. TaxCor J. VeenmanPublished in: BNAIC (2005)
Keyphrases
- model selection
- decision trees
- roc curve
- feature selection
- misclassification rate
- training set
- leave one out cross validation
- rbf kernel
- probability estimates
- support vector
- probability estimation
- receiver operating characteristic
- logistic regression
- training data
- classification method
- classification process
- class distribution
- learning algorithm
- classification scheme
- error rate
- classification accuracy
- hyperparameters
- class labels
- support vector machine
- roc analysis
- high classification accuracy
- svm classifier
- gaussian processes
- linear classifiers
- naive bayes
- feature space
- receiver operating characteristic curves
- knn
- k nearest neighbour
- data sets