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- W2390887124 abstract "The most commonly used evaluation measure in the domain of Automatic Target Recognition(ATR) algorithm evaluation is Accuracy(ACC),however,the ACC measure has many defects.The evaluation conclusions drawn under ACC alone may be blind and misleading.The Area Under the Curve(AUC) based on Receiver Operating Characteristic(ROC) curve can depict the whole performance of the algorithm under multi-threshold and overcome the inherent defects of ACC.The concept and characteristics of ACC and AUC are discussed respectively,and the relationship between the two measures is analyzed in detail.When the AUC value is fixed,the weighted and un-weighted mean value of ACC has linear relationship with AUC;meanwhile,when the ACC value is fixed and the probability of true positive PTP is given,the ACC also has linear relationship with the maximum and minimum value of AUC.In the end,the superiority of the AUC evaluation measure is analyzed." @default.
- W2390887124 created "2016-06-24" @default.
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- W2390887124 date "2008-01-01" @default.
- W2390887124 modified "2023-09-23" @default.
- W2390887124 title "Application of ACC and AUC in ATR algorithm evaluation" @default.
- W2390887124 hasPublicationYear "2008" @default.
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