menu search
brightness_auto
more_vert
2 1

How do you suggest which evaluation metric is more important for any case?

Topic - Evaluation 

Type - Short answer 

thumb_up_off_alt 2 like thumb_down_off_alt 0 dislike

1 Answer

more_vert
 
verified
Verified Answer
1

F 1 Evaluation metric is more important in any case. F1 score sort maintains a balance between the precision and recall for the classifier. If the precision is low, the F1 is low and if the recall is low again F1 score is low. The F1 score is a number between 0 and 1 and is the harmonic mean of precision and recall

F1 Score = 2 * Precision * Recall / Precision + Recall 

When we have a value of 1 (that is 100%) for both Precision and Recall. The F1 score would also be an ideal 1 (100%). It is known as the perfect value for F1 Score. As the values of both Precision and Recall ranges from 0 to 1, the F1 score also ranges from 0 to 1.


Study more about Evaluation at Evaluation Class 10

thumb_up_off_alt 1 like thumb_down_off_alt 0 dislike

Related questions

thumb_up_off_alt 1 like thumb_down_off_alt 0 dislike
1 answer
thumb_up_off_alt 0 like thumb_down_off_alt 0 dislike
1 answer
thumb_up_off_alt 1 like thumb_down_off_alt 0 dislike
1 answer
thumb_up_off_alt 1 like thumb_down_off_alt 0 dislike
1 answer
thumb_up_off_alt 1 like thumb_down_off_alt 0 dislike
1 answer
thumb_up_off_alt 2 like thumb_down_off_alt 0 dislike
1 answer
thumb_up_off_alt 0 like thumb_down_off_alt 0 dislike
1 answer
Welcome to Aiforkids, where you can ask questions and receive answers from other members of the community.

AI 2024 Class 10 Board Exams mein 100% laane ka plan OPEN NOW

Class 10 Complete One Shot AI Lectures at - Youtube

1.5k questions

1.4k answers

4 comments

5.0k users

...