About 373,000 results
Open links in new tab
  1. What is the best way to remember the difference between sensitivity ...

    Despite having seen these terms 502847894789 times, I cannot for the life of me remember the difference between sensitivity, specificity, precision, accuracy, and recall. They're pretty simple con...

  2. Comparison Sensitivity and Specificity - Cross Validated

    Sep 5, 2024 · With this, I have a paired comparison of Sensitivity or Specificity and McNemar's Test seems the most appropriate. It has been suggested that to compare Sensitivities between the two …

  3. Calculate AUC using sensitivity and specificity values only

    Sep 6, 2019 · How to calculate AUC, if I have values of sensitivity and specificity for various threshold cutoffs? I have sensitivity and specificity values for 100 thresholds. sensitivity: c(0.64919354838709...

  4. Calculation of accuracy (and Cohen's kappa) using sensitivity ...

    Oct 27, 2018 · Calculation of accuracy (and Cohen's kappa) using sensitivity, specificity, positive and negative predictive values Ask Question Asked 7 years, 2 months ago Modified 6 years, 1 month ago

  5. Accuracy, Sensitivity, Specificity, & ROC AUC - Cross Validated

    Sep 24, 2019 · Accuracy, sensitivity and specificity are improper scoring rules. They all have major problems in unbalanced datasets, and almost as big problems in balanced datasets. See Why is …

  6. bayesian - Is sensitivity or specificity a function of prevalence ...

    Feb 14, 2018 · Sensitivity and specificity doesn't change with prevalence provided the cumulative probability function of the test within both those with the disease and those without the disease is the …

  7. references - Sensitivity vs. specificity vs. recall - Cross Validated

    Nov 1, 2022 · Given a binary confusion matrix with true positives (TP), false positives (FP), true negatives (TN), and false negatives (FN), what are the formulas for sensitivity, specificity, and recall? …

  8. (Why) Does positive predictive value depend on sensitivity?

    Feb 6, 2023 · The "roc" in your R routine stands for "Receiver Operating Characteristic" curve. The ROC curve shows the trade-off between sensitivity and specificity. ROC curves usually put (1-Specificity) …

  9. classification - Precision vs. specificity - Cross Validated

    Nov 17, 2022 · I know that if we cannot afford to have false positive results, we should aim for high precision. My question is, how is precision different from specificity? Any examples?

  10. Academic reference on the drawbacks of accuracy, F1 score, sensitivity ...

    Jan 30, 2023 · The exact same issues also plague the F1 score (actually all Fβ scores), sensitivity, specificity and alternatives. Is there a standard academic article one can point to discussing these …