menu search
brightness_auto
more_vert
2 1

Take a look at the confusion matrix:

Confusion Matrix Table

How do you calculate the F1 score?


thumb_up_off_alt 2 like thumb_down_off_alt 0 dislike

1 Answer

more_vert
 
verified
Verified Answer
2
  1. We begin the calculation by first using the formula to calculate Precision Precision is defined as the percentage of true positive cases versus all the cases where the prediction is true. That is, it takes into account the True Positives and False Positives.


  2. Next, we calculate recall as the fraction of positive cases that are correctly identified.


  3. Finally, we calculate the F1 score as the measure of the balance between precision and recall.
    F1 score = 2 × 𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛 × 𝑅𝑒𝑐𝑎𝑙𝑙 /𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛 +𝑅𝑒𝑐𝑎𝑙.

thumb_up_off_alt 2 like thumb_down_off_alt 0 dislike

Related questions

thumb_up_off_alt 3 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 2 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 1 like thumb_down_off_alt 0 dislike
1 answer
thumb_up_off_alt 0 like thumb_down_off_alt 0 dislike
2 answers
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

7.6k users

...