Evaluation Error Confidence Interval Estimation Methods
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Estimation Methods Pattern Recognition, International Conference on (2004) Cambridge UK Aug. 23, 2004 to standard error of estimate confidence interval Aug. 26, 2004 ISSN: 1051-4651 ISBN: 0-7695-2128-2 pp: 103-106 DOI
Confidence Interval Estimation Calculator
Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPR.2004.1334479 Sharath Pankanti , IBM Thomas J. Watson Research Center, Yorktown Heights, NY Nalini
Confidence Interval Estimation Examples
K. Ratha , IBM Thomas J. Watson Research Center, Yorktown Heights, NY Ruud M. Bolle , IBM Thomas J. Watson Research Center, Yorktown Heights, NY
Confidence Interval Estimation Excel
ABSTRACT Reporting the accuracy performance of pattern recognition systems (e.g., biometrics ID system) is a controversial issue and perhaps an issue that is not well understood [An introduction to evaluating biometric systems, Confidence interval and test size estimation for biometric data]. This work focuses on the research issues related to confidence interval estimation and prediction interval excel the oft used confidence interval metric for performance evaluation. Using a biometric (fingerprint) authentication system, we estimate the False Reject Rates and False Accept Rates of the system using a real fingerprint dataset. We also estimate confidence intervals of these error rates using a number of parametric (e.g., see [Confidence interval and test size estimation for biometric data]) and non-parametric (e.g., bootstrapping [1, 3, 6]) methods. We attempt to assess the accuracy of the confidence intervals based on estimate and verify strategy applied to repetitive random train/test splits of the dataset. Our experiments objectively verify the hypothesis that the traditional bootstrap and parametric estimate methods are not very effective in estimating the confidence intervals and magnitude of interdependence among data may be one of the reasons for their ineffective estimates. Further, we demonstrate that the resampling the subsets of the data samples (inspired from moving block bootstrap [Moving bloc
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