State true or False: Precision is inversely proportional to recall True False
Question
State true or False: Precision is inversely proportional to recall True False
Solution
False. Precision and recall are not inversely proportional. They are two different metrics used in statistics and machine learning. Precision measures the percentage of correctly predicted positive observations out of the total predicted positives. Recall, on the other hand, measures the percentage of correctly predicted positive observations out of the total actual positives. They can both be high or low independently.
Similar Questions
Define Precision and Recall.
True/False: Precision in an information retrieval system refers to the fraction of relevant documents in the collection that were returned by the system.Question 5Select one:TrueFalse
What is the difference between precision and recall?<br /> A. 1. Precision measures the accuracy of positive predictions, while recall measures the ability to capture all positive instances <br />B. 2. Precision is the ratio of true positives to true negatives, while recall is the ratio of false positives to false negatives <br />C. 3. Precision and recall are synonymous and used interchangeably <br />D. 4. Precision focuses on false positives, while recall focuses on false negatives
With the help of a confusion matrix, we can compute-RecallPrecissionAccuracyAll of the above
Accuracy is a measure of closeness of measured values to each other.a.Trueb.False
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