December 31, 2020
Recall measures the number of True Positives out of the Total number of actual positive cases.
This metric is used in cases where you’re willing to compromise on accuracy of predicting negative cases but not on accuracy with which positive cases are predicted. For example, if you built a model to screen corona positive patients out of a given population then recall will be metric that you would be most interested in. Even if the model predicts healthy people as Covid positive they physicians can rectify that error. But if Covid positive people are classified as healthy, they would leave the process at screening stage itself and thus:
- Would be deprived of the treatment
- Won’t be quarantined and could infect others
by : Monis Khan
Quick Summary:
Recall measures the number of True Positives out of the Total number of actual positive cases. This metric is used in cases where you’re willing to compromise on accuracy of predicting negative cases but not on accuracy with which positive cases are predicted. For example, if you built a model to screen corona positive patients out […]