Question

What is meant by precision in terms of deep learning metrics?
* Ratio of correctly predicted class by total number of predictions
* Ratio of the correctly predicted class by the total number of class
* Difference between an actual and predicted value
* Total number of correct predictions
10 out of 10 answered.
​

Answer 1

Answer:

Precision is a metric that quantifies the number of correct positive predictions made. Precision, therefore, calculates the accuracy for the minority class. It is calculated as the ratio of correctly predicted positive examples divided by the total number of positive examples that were predicted.

Answer 2

Explanation:

what is the correct answer