Question: What does the F1 Score evaluate in a classification model?
Options:
The balance between precision and recall
The overall accuracy of the model
The speed of the model
The number of false positives
Correct Answer: The balance between precision and recall
Solution:
The F1 Score is the harmonic mean of precision and recall, providing a balance between the two.
What does the F1 Score evaluate in a classification model?
Practice Questions
Q1
What does the F1 Score evaluate in a classification model?
The balance between precision and recall
The overall accuracy of the model
The speed of the model
The number of false positives
Questions & Step-by-Step Solutions
What does the F1 Score evaluate in a classification model?
F1 Score – The F1 Score evaluates a classification model's performance by balancing precision (the accuracy of positive predictions) and recall (the ability to find all positive instances).
Soulshift Feedback×
On a scale of 0–10, how likely are you to recommend
The Soulshift Academy?
