Ten More Years of Error Rate Research

DOI10.1111/j.1751-5823.2000.tb00332.xzbMath1107.62339OpenAlexW2075381171MaRDI QIDQ4831978

Rosa A. Schiavo, David J. Hand

Publication date: 3 January 2005

Published in: International Statistical Review (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1751-5823.2000.tb00332.x

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Nonparametric estimation (62G05)

Related Items

GEOMETRIC PROXIMITY GRAPHS FOR IMPROVING NEAREST NEIGHBOR METHODS IN INSTANCE-BASED LEARNING AND DATA MINING ⋮ On Kolmogorov asymptotics of estimators of the misclassification error rate in linear discriminant analysis ⋮ An experimental comparison of cross-validation techniques for estimating the area under the ROC curve ⋮ Training and assessing classification rules with imbalanced data ⋮ Efficient cross-validation for kernelized least-squares regression with sparse basis expansions ⋮ Estimating classification error rate: repeated cross-validation, repeated hold-out and bootstrap ⋮ Mining supervised classification performance studies: a meta-analytic investigation ⋮ Optimality of training/test size and resampling effectiveness in cross-validation

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Smoothed additive estimators for non-error rates in multiple discriminant analysis
• A shrunken leaving-one-out estimator of error rate
• Error rate estimation by mixture decomposition
• On the asymptotic properties of smoothed estimators of the classification error rate
• Estimation of dependences based on empirical data. Transl. from the Russian by Samuel Kotz
• Additive estimators for probabilities of correct classification
• An efficient method to estimate bagging's generalization error
• Predicting \(\{ 0,1\}\)-functions on randomly drawn points
• Characterizing rational versus exponential learning curves
• Strong minimax lower bounds for learning
• Boosting the margin: a new explanation for the effectiveness of voting methods
• Boosting a weak learning algorithm by majority
• Estimation of Error Rates in Discriminant Analysis with Selection of Variables
• Estimating the Error Rate of a Prediction Rule: Improvement on Cross-Validation
• Learnability and the Vapnik-Chervonenkis dimension
• A theory of the learnable
• Distribution-free performance bounds for potential function rules
• On the Relationship between the F Test and the Overall Error Rate for Variable Selection in Two-Group Discriminant Analysis
• Bias in error rate estimates in discriminant analysis when stepwise variable selection is employed
• Bibliography on estimation of misclassification
• Distribution-free inequalities for the deleted and holdout error estimates
• On the posterior-probability estimate of the error rate of nonparametric classification rules
• Error-Rate Estimation in Multiple-Group Linear Discriminant Analysis
• The sample complexity of pattern classification with neural networks: the size of the weights is more important than the size of the network
• Structural risk minimization over data-dependent hierarchies
• Nonparametric estimation via empirical risk minimization
• Neural Network Learning
• On the Uniform Convergence of Relative Frequencies of Events to Their Probabilities
• Nonparametric Bayes error estimation using unclassified samples