Precision vs Recall in Data Science
Edited On 21 JULY 2022
What is the difference between Precision and Recall in Data Science?
Precision measures the total variation of 2 random variables from their expected values.
Recall measures the strength of the relationship between variables.
It is only used to gauge the direction of the relationship.
It is the scaled measure of covariance.
It doesn't showcase the strength of the relationship between two variables.
It is dimensionless
It cannot be used to indicate the dependency between the variables.
The correlation coefficient is always a pure value and not measured in any units
Published on 23 JULY 2022 at 4:11
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