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Accuracy vs Precision

Accuracy, precision, sensitivity, specificity, repeatability, reproducibility
by

Jin-Hong Yoo

on 7 January 2013

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Transcript of Accuracy vs Precision

Accuracy vs. Precision 하도 헷갈려서 정리 좀 해 봤음. Accuracy Precision Repeatability vs Reproducibility 둘 다 '재현성'이지만 의미가 다름.
어떻게 다르냐 하면... Repeatability Reproducibility Same tool 을 쓰고 단기간에 확인 손 바꾸고 장기간에 확인 Accuracy, Precision,
Sensitivity, Specificity... 정량적으로 분별해 봅시다. Gold Standard True False Test Positive Negative TP FP FN TN TP: True positive
FP: False positive
TN: True negative (+) predictive value = Precision (-) predictive value Sensitivity Specificity Accuracy Again... PPV (pay-per-view가 아니고... (+)predictive value)= TP/(TP+FP) NPV = TN/(TN+FN) Sensitivity = TP/(TP+FN) Specificity = TN/(FP+TN) Accuracy = (TP+TN)/all Sensitivity/(1-spec) = Likelihood ratio 질환 있는 사람이 질환 없는 사람에서보다 likelihood ratio 로 계산된 배수만큼 test 양성확률이 높다는 뜻. 이젠 더 이상 헷갈리지 말아야지..
안녕 ~~~!
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