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Measuring Diagnostic Accuracy of Statistical Prediction Rules
Author(s) -
Hand D. J.
Publication year - 2001
Publication title -
statistica neerlandica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.52
H-Index - 39
eISSN - 1467-9574
pISSN - 0039-0402
DOI - 10.1111/1467-9574.00153
Subject(s) - measure (data warehouse) , computer science , data mining , machine learning , statistics , artificial intelligence , econometrics , mathematics
Many different statistical methods have been developed for predicting the disease classes of patients. However, in order to have confidence in the results of such methods, their performance needs to be assessed. Different performance measures are reviewed and the circumstances in which they are relevant are described. Subtleties exist which must be taken into account to ensure that the measure chosen matches the objectives. Examples are given showing different interpretations of future diagnostic performance.