Question 2A Covid dataset is generated by measurements of a few health parameters for various individuals. A Decision tree Classifier is applied to this dataset to see if we can predict whether an individual is Covid-Positive (1) or Covid-Negative(0). Which of the following is the most important performance metric in this case?Answer choicesSelect only one optionREVISITPrecisionRecallCannot be determinedNone of the above
Question
Question 2A Covid dataset is generated by measurements of a few health parameters for various individuals. A Decision tree Classifier is applied to this dataset to see if we can predict whether an individual is Covid-Positive (1) or Covid-Negative(0). Which of the following is the most important performance metric in this case?Answer choicesSelect only one optionREVISITPrecisionRecallCannot be determinedNone of the above
Solution
The most important performance metric in this case would be Recall. This is because in the context of a pandemic like Covid-19, it is more important to correctly identify as many positive cases as possible (True Positives) to prevent the spread of the disease. Even if this means that some individuals are incorrectly identified as positive (False Positives), these individuals can be retested for confirmation. Therefore, a higher Recall (which measures the proportion of actual positives that are correctly identified) is more important than Precision (which measures the proportion of identified positives that are actually correct) in this case.
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