In a medical diagnosis task, where identifying false negatives is critical, which evaluation metric would be the primary focus?Review LaterSpecificitySensitivityPrecisionF1-Score
Question
In a medical diagnosis task, where identifying false negatives is critical, which evaluation metric would be the primary focus?Review LaterSpecificitySensitivityPrecisionF1-Score
Solution
In a medical diagnosis task, where identifying false negatives is critical, the primary focus would be on Sensitivity.
Sensitivity, also known as True Positive Rate or Recall, measures the proportion of actual positives that are correctly identified as such. In the context of a medical diagnosis, a high sensitivity means that the test correctly identifies a high proportion of patients who have the disease (true positives), which is crucial to avoid false negatives (patients who have the disease but are incorrectly identified as not having it).
False negatives in a medical context can be particularly dangerous as they can lead to the disease progressing undetected and untreated. Therefore, in such a scenario, sensitivity would be the primary focus.
Similar Questions
Which of the following is used to distinguish the false positive rate from the false negative rate?1 pointSpecificityNegative Predictive ValueFalse NegativeSensitivity
A model produces a perfect precision score of 1.0 for a positive class and sensitivity of 0.75. This means, the model may have mislabeled some positive instances as negative class. How can one judge the efficacy of the model in this scenario?Select an option Clear ResponseThrough F-measureThrough AUROCThrough accuracyThrough Specificity
In the context of multiclass classification, which evaluation metric takes into account both the false positive and false negative errors for each class, providing a more comprehensive view of model performance?Review LaterMacro F1-ScoreAccuracyHamming LossMicro F1-Score
Diagnosis occurs after an assessment, by having identified a cluster of symptoms and classifying them using the DSM. Group of answer choicesTrue False
Which of the following indicates whether a doctor or machine is doing well at finding positive examples in a data set?1 pointSensitivityLikelihood RatioPositive Predictive ValueSpecificity
Upgrade your grade with Knowee
Get personalized homework help. Review tough concepts in more detail, or go deeper into your topic by exploring other relevant questions.