Controlling true positive rate in ROC analysis

Computers in Cardiology

Volumn 36, Issue , 2009, Pages 353-356

  Eftestøl, Trygve ^a  

^a UNIVERSITY OF STAVANGER   (Norway)

Author keywords

[No Author keywords available]

Indexed keywords

DATA SETS; DECISION REGIONS; LEAVE-ONE-OUT; NEGATIVE RATES; PERFORMANCE OF CLASSIFIER; RESAMPLING TECHNIQUE; ROC ANALYSIS; ROC CURVES; SIMULATED DATA; TRUE POSITIVE; TRUE POSITIVE RATES;

CARDIOLOGY;

PROBABILITY DENSITY FUNCTION;

EID: 77952698854     PISSN: 02766574     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

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2. Duda RO, Hart PE, Stork DG. Pattern Classification. Second edition. New York: John Wiley and Sons, Inc., 2001.
3. Macskassy S, Provost F. Confidence bands for ROC curves: Methods and an empirical study. In Proceedings First Workshop on ROC Analysis in AI (ROCAI-04). 2004; .
4. Agresti A, Coull B. Approximate is better than "exact" for interval estimation of binomial proportions. The American Statistician 1998;52(2):119-126.
5. Brown LD, Cai TT, DasGupta A. Interval estimation for a binomial proportion. Statistical Science 2001;16(2):101-133.