Precision vs Recall in Data Science
What is the difference between Precision and Recall in Data Science?
| Precision | Recall |
| 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 14 AUGUST 2023 at 9:47
